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Xin Xia 0001
Person information
- affiliation: Zhejiang University, Hangzhou, China
- affiliation (former): Huawei Technologies Co., Ltd., Hangzhou, China
- affiliation (former): Monash University, Melbourne, Australia
- affiliation (former): University of British Columbia, Vancouver, BC, Canada
- affiliation (PhD 2014): Zhejiang University, College of Computer Science and Technology, China
Other persons with the same name
- Xin Xia — disambiguation page
- Xin Xia 0002 — Tsinghua University, Department of Electronical Engineering, Beijing, China
- Xin Xia 0003 — University of Electronic Science and Technology of China, National Key Lab of Communication, Chengdu, China
- Xin Xia 0004 — Jiangxi Vocational Technical College of Industry and Trade, Nanchang, China
- Xin Xia 0005
— Beihang University, China
- Xin Xia 0006 — Sichuan University, Chengdu, Sichuan, China
- Xin Xia 0007
- Xin Xia 0008 — Huawei Technologies Co., Ltd., Chengdu, China
- Xin Xia 0009
- Xin Xia 0010 — Agricultural University of Hebei, Baoding, Hebei, China
- Xin Xia 0011 — Jiangnan University, Wuxi, Jiangsu, China
- Xin Xia 0012 — Shanghai University of Electric Power, College of Energy and Mechanical Engineering, China
- Xin Xia 0013
- Xin Xia 0014 — ByteDance Inc., Beijing, China
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Journal Articles
- 2025
- [j139]Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang:
Deep learning-based software engineering: progress, challenges, and opportunities. Sci. China Inf. Sci. 68(1) (2025) - [j138]Kexing Chen, Lingfeng Bao, Xing Hu, Xin Xia, Xiaohu Yang:
E-PRedictor: an approach for early prediction of pull request acceptance. Sci. China Inf. Sci. 68(5) (2025) - [j137]Xunzhu Tang, Haoye Tian
Correction to: App review driven collaborative bug finding. Empir. Softw. Eng. 30(1): 36 (2025) - [j136]Zhipeng Gao
Automating TODO-missed Methods Detection and Patching. ACM Trans. Softw. Eng. Methodol. 34(1): 2:1-2:28 (2025) - [j135]Xiao Yu
Less Is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. 34(3): 62:1-62:37 (2025) - [j134]Jianhang Xiang
Automating Comment Generation for Smart Contract from Bytecode. ACM Trans. Softw. Eng. Methodol. 34(3): 79:1-79:31 (2025) - 2024
- [j133]Jiachi Chen
Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts. Autom. Softw. Eng. 31(2) (2024) - [j132]Zuohui Chen
GGT: Graph-guided testing for adversarial sample detection of deep neural network. Comput. Secur. 140: 103710 (2024) - [j131]Xunzhu Tang, Haoye Tian
App review driven collaborative bug finding. Empir. Softw. Eng. 29(5): 124 (2024) - [j130]Anita D. Carleton
Generative AI: Redefining the Future of Software Engineering. IEEE Softw. 41(6): 34-37 (2024) - [j129]Wen Li
Market Manipulation of Cryptocurrencies: Evidence from Social Media and Transaction Data. ACM Trans. Internet Techn. 24(2): 8:1-8:26 (2024) - [j128]Yuanhang Yang
TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site. ACM Trans. Softw. Eng. Methodol. 33(1): 20:1-20:25 (2024) - [j127]Jiamou Sun
Aspect-level Information Discrepancies across Heterogeneous Vulnerability Reports: Severity, Types and Detection Methods. ACM Trans. Softw. Eng. Methodol. 33(2): 49:1-49:38 (2024) - [j126]Yanming Yang
The Lost World: Characterizing and Detecting Undiscovered Test Smells. ACM Trans. Softw. Eng. Methodol. 33(3): 59:1-59:32 (2024) - [j125]Jia Li
Poison Attack and Poison Detection on Deep Source Code Processing Models. ACM Trans. Softw. Eng. Methodol. 33(3): 62:1-62:31 (2024) - [j124]Yanming Yang
Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction. IEEE Trans. Software Eng. 50(2): 296-321 (2024) - [j123]Junxiao Han
Understanding Newcomers' Onboarding Process in Deep Learning Projects. IEEE Trans. Software Eng. 50(3): 443-460 (2024) - [j122]Fangcheng Qiu
Vulnerability Detection via Multiple-Graph-Based Code Representation. IEEE Trans. Software Eng. 50(8): 2178-2199 (2024) - [j121]Xiao Yu
Fight Fire With Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks? IEEE Trans. Software Eng. 50(12): 3435-3453 (2024) - 2023
- [j120]Ying Fu, Meng Yan
An empirical study of the impact of log parsers on the performance of log-based anomaly detection. Empir. Softw. Eng. 28(1): 6 (2023) - [j119]Lihong Tang
How Does Visualisation Help App Practitioners Analyse Android Apps? IEEE Trans. Dependable Secur. Comput. 20(3): 2238-2255 (2023) - [j118]Shuzheng Gao
Code Structure-Guided Transformer for Source Code Summarization. ACM Trans. Softw. Eng. Methodol. 32(1): 23:1-23:32 (2023) - [j117]Chen Zeng
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. ACM Trans. Softw. Eng. Methodol. 32(2): 34:1-34:27 (2023) - [j116]Filipe Roseiro Côgo
Assessing the Alignment between the Information Needs of Developers and the Documentation of Programming Languages: A Case Study on Rust. ACM Trans. Softw. Eng. Methodol. 32(2): 43:1-43:48 (2023) - [j115]Zhipeng Gao
I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts. ACM Trans. Softw. Eng. Methodol. 32(3): 80:1-80:42 (2023) - [j114]Qing Huang
Semantic-Enriched Code Knowledge Graph to Reveal Unknowns in Smart Contract Code Reuse. ACM Trans. Softw. Eng. Methodol. 32(6): 147:1-147:37 (2023) - [j113]Weifeng Sun
Revisiting the Identification of the Co-evolution of Production and Test Code. ACM Trans. Softw. Eng. Methodol. 32(6): 152:1-152:37 (2023) - [j112]Qing Huang
1+1>2: Programming Know-What and Know-How Knowledge Fusion, Semantic Enrichment and Coherent Application. IEEE Trans. Serv. Comput. 16(3): 1540-1554 (2023) - [j111]Zhongxin Liu
Just-In-Time Obsolete Comment Detection and Update. IEEE Trans. Software Eng. 49(1): 1-23 (2023) - [j110]Neng Zhang
Web APIs: Features, Issues, and Expectations - A Large-Scale Empirical Study of Web APIs From Two Publicly Accessible Registries Using Stack Overflow and a User Survey. IEEE Trans. Software Eng. 49(2): 498-528 (2023) - [j109]Bo Lin
Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach. IEEE Trans. Software Eng. 49(4): 1640-1660 (2023) - [j108]Yujia Chen
API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning. IEEE Trans. Software Eng. 49(5): 3289-3304 (2023) - [j107]Zhuo Zhang
Context-Aware Neural Fault Localization. IEEE Trans. Software Eng. 49(7): 3939-3954 (2023) - [j106]Truong Giang Nguyen
Multi-Granularity Detector for Vulnerability Fixes. IEEE Trans. Software Eng. 49(8): 4035-4057 (2023) - [j105]Junwei Zhang
Vulnerability Detection by Learning From Syntax-Based Execution Paths of Code. IEEE Trans. Software Eng. 49(8): 4196-4212 (2023) - 2022
- [j104]Lingfeng Bao, Tao Li, Xin Xia, Kaiyu Zhu, Hui Li, Xiaohu Yang:
How does working from home affect developer productivity? - A case study of Baidu during the COVID-19 pandemic. Sci. China Inf. Sci. 65(4) (2022) - [j103]Chao Liu, Xin Xia, David Lo
Opportunities and Challenges in Code Search Tools. ACM Comput. Surv. 54(9): 196:1-196:40 (2022) - [j102]Yanming Yang
A Survey on Deep Learning for Software Engineering. ACM Comput. Surv. 54(10s): 206:1-206:73 (2022) - [j101]Jiakun Liu, Haoxiang Zhang, Xin Xia
An exploratory study on the repeatedly shared external links on Stack Overflow. Empir. Softw. Eng. 27(1): 19 (2022) - [j100]Fang Liu
A unified multi-task learning model for AST-level and token-level code completion. Empir. Softw. Eng. 27(4): 91 (2022) - [j99]Cuiyun Gao, Jichuan Zeng, David Lo
Understanding in-app advertising issues based on large scale app review analysis. Inf. Softw. Technol. 142: 106741 (2022) - [j98]Mojtaba Shahin
How secondary school girls perceive Computational Thinking practices through collaborative programming with the micro: bit. J. Syst. Softw. 183: 111107 (2022) - [j97]Tingmin Wu
Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity. ACM Trans. Internet Techn. 22(2): 52:1-52:27 (2022) - [j96]Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo
Automating App Review Response Generation Based on Contextual Knowledge. ACM Trans. Softw. Eng. Methodol. 31(1): 11:1-11:36 (2022) - [j95]Chao Liu, Xin Xia, David Lo
CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words. ACM Trans. Softw. Eng. Methodol. 31(1): 12:1-12:37 (2022) - [j94]Chao Liu
On the Reproducibility and Replicability of Deep Learning in Software Engineering. ACM Trans. Softw. Eng. Methodol. 31(1): 15:1-15:46 (2022) - [j93]Jiachi Chen
Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum. ACM Trans. Softw. Eng. Methodol. 31(2): 30:1-30:37 (2022) - [j92]Yanming Yang
Predictive Models in Software Engineering: Challenges and Opportunities. ACM Trans. Softw. Eng. Methodol. 31(3): 56:1-56:72 (2022) - [j91]Xing Hu, Qiuyuan Chen, Haoye Wang
Correlating Automated and Human Evaluation of Code Documentation Generation Quality. ACM Trans. Softw. Eng. Methodol. 31(4): 63:1-63:28 (2022) - [j90]Tingting Bi
Accessibility in Software Practice: A Practitioner's Perspective. ACM Trans. Softw. Eng. Methodol. 31(4): 66:1-66:26 (2022) - [j89]Chao Ni
Just-In-Time Defect Prediction on JavaScript Projects: A Replication Study. ACM Trans. Softw. Eng. Methodol. 31(4): 76:1-76:38 (2022) - [j88]Meng Yan
Just-In-Time Defect Identification and Localization: A Two-Phase Framework. IEEE Trans. Software Eng. 48(2): 82-101 (2022) - [j87]Qiang He
Diversified Third-Party Library Prediction for Mobile App Development. IEEE Trans. Software Eng. 48(2): 150-165 (2022) - [j86]Jiachi Chen
Defining Smart Contract Defects on Ethereum. IEEE Trans. Software Eng. 48(2): 327-345 (2022) - [j85]Chao Ni
Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction. IEEE Trans. Software Eng. 48(3): 786-802 (2022) - [j84]Neng Zhang
Chatbot4QR: Interactive Query Refinement for Technical Question Retrieval. IEEE Trans. Software Eng. 48(4): 1185-1211 (2022) - [j83]Tingting Bi
An Empirical Study of Release Note Production and Usage in Practice. IEEE Trans. Software Eng. 48(6): 1834-1852 (2022) - [j82]Jiachi Chen
DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode. IEEE Trans. Software Eng. 48(7): 2189-2207 (2022) - [j81]Xiaoxue Wu
Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction. IEEE Trans. Software Eng. 48(7): 2541-2556 (2022) - [j80]Cuiyun Gao
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. IEEE Trans. Software Eng. 48(8): 3025-3043 (2022) - [j79]Jiakun Liu
Broken External Links on Stack Overflow. IEEE Trans. Software Eng. 48(9): 3242-3267 (2022) - [j78]Bowen Xu
Post2Vec: Learning Distributed Representations of Stack Overflow Posts. IEEE Trans. Software Eng. 48(9): 3423-3441 (2022) - [j77]Fangcheng Qiu, Zhipeng Gao
Deep Just-In-Time Defect Localization. IEEE Trans. Software Eng. 48(12): 5068-5086 (2022) - 2021
- [j76]Yuanrui Fan, Xin Xia, David Lo
What makes a popular academic AI repository? Empir. Softw. Eng. 26(1): 2 (2021) - [j75]Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks. Empir. Softw. Eng. 26(2): 16 (2021) - [j74]Xiaowei Chen, Rabe Abdalkareem
Helping or not helping? Why and how trivial packages impact the npm ecosystem. Empir. Softw. Eng. 26(2): 27 (2021) - [j73]Jiachi Chen
Maintenance-related concerns for post-deployed Ethereum smart contract development: issues, techniques, and future challenges. Empir. Softw. Eng. 26(6): 117 (2021) - [j72]Jing Jiang, Qiudi Wu, Jin Cao, Xin Xia, Li Zhang:
Recommending tags for pull requests in GitHub. Inf. Softw. Technol. 129: 106394 (2021) - [j71]Tingting Bi
Mining Architecture Tactics and Quality Attributes knowledge in Stack Overflow. J. Syst. Softw. 180: 111005 (2021) - [j70]Ying Wei, Xiaobing Sun, Lili Bo, Sicong Cao
A comprehensive study on security bug characteristics. J. Softw. Evol. Process. 33(10) (2021) - [j69]Zhipeng Gao
Technical Q8A Site Answer Recommendation via Question Boosting. ACM Trans. Softw. Eng. Methodol. 30(1): 11:1-11:34 (2021) - [j68]Qiuyuan Chen, Xin Xia, Han Hu, David Lo
Why My Code Summarization Model Does Not Work: Code Comment Improvement with Category Prediction. ACM Trans. Softw. Eng. Methodol. 30(2): 25:1-25:29 (2021) - [j67]Qiuyuan Chen, Chunyang Chen
How Should I Improve the UI of My App?: A Study of User Reviews of Popular Apps in the Google Play. ACM Trans. Softw. Eng. Methodol. 30(3): 37:1-37:38 (2021) - [j66]Haoye Wang
Context-aware Retrieval-based Deep Commit Message Generation. ACM Trans. Softw. Eng. Methodol. 30(4): 56:1-56:30 (2021) - [j65]Lingfeng Bao
A Large Scale Study of Long-Time Contributor Prediction for GitHub Projects. IEEE Trans. Software Eng. 47(6): 1277-1298 (2021) - [j64]Zhiyuan Wan
What Do Programmers Discuss About Blockchain? A Case Study on the Use of Balanced LDA and the Reference Architecture of a Domain to Capture Online Discussions About Blockchain Platforms Across Stack Exchange Communities. IEEE Trans. Software Eng. 47(7): 1331-1349 (2021) - [j63]Giovanni Viviani
Locating Latent Design Information in Developer Discussions: A Study on Pull Requests. IEEE Trans. Software Eng. 47(7): 1402-1413 (2021) - [j62]Yuanrui Fan
The Impact of Mislabeled Changes by SZZ on Just-in-Time Defect Prediction. IEEE Trans. Software Eng. 47(8): 1559-1586 (2021) - [j61]Zhiyuan Wan
How does Machine Learning Change Software Development Practices? IEEE Trans. Software Eng. 47(9): 1857-1871 (2021) - [j60]Zhongxin Liu
Which Variables Should I Log? IEEE Trans. Software Eng. 47(9): 2012-2031 (2021) - [j59]Rubing Huang
A Survey on Adaptive Random Testing. IEEE Trans. Software Eng. 47(10): 2052-2083 (2021) - [j58]Weiqin Zou
Smart Contract Development: Challenges and Opportunities. IEEE Trans. Software Eng. 47(10): 2084-2106 (2021) - [j57]Zhipeng Gao
Checking Smart Contracts With Structural Code Embedding. IEEE Trans. Software Eng. 47(12): 2874-2891 (2021) - 2020
- [j56]Li Li
CDA: Characterising Deprecated Android APIs. Empir. Softw. Eng. 25(3): 2058-2098 (2020) - [j55]Xing Hu
Deep code comment generation with hybrid lexical and syntactical information. Empir. Softw. Eng. 25(3): 2179-2217 (2020) - [j54]Junxiao Han, Emad Shihab, Zhiyuan Wan, Shuiguang Deng
What do Programmers Discuss about Deep Learning Frameworks. Empir. Softw. Eng. 25(4): 2694-2747 (2020) - [j53]Jieshan Chen
Wireframe-based UI Design Search through Image Autoencoder. ACM Trans. Softw. Eng. Methodol. 29(3): 19:1-19:31 (2020) - [j52]Lingfeng Bao
psc2code: Denoising Code Extraction from Programming Screencasts. ACM Trans. Softw. Eng. Methodol. 29(3): 21:1-21:38 (2020) - [j51]Zhipeng Gao
Generating Question Titles for Stack Overflow from Mined Code Snippets. ACM Trans. Softw. Eng. Methodol. 29(4): 26:1-26:37 (2020) - [j50]Wenhan Wang, Ge Li, Sijie Shen, Xin Xia
Modular Tree Network for Source Code Representation Learning. ACM Trans. Softw. Eng. Methodol. 29(4): 31:1-31:23 (2020) - [j49]Yuanrui Fan
Chaff from the Wheat: Characterizing and Determining Valid Bug Reports. IEEE Trans. Software Eng. 46(5): 495-525 (2020) - [j48]Weiqin Zou
How Practitioners Perceive Automated Bug Report Management Techniques. IEEE Trans. Software Eng. 46(8): 836-862 (2020) - [j47]Qiao Huang, Xin Xia
Automating Intention Mining. IEEE Trans. Software Eng. 46(10): 1098-1119 (2020) - [j46]Zhiyuan Wan
Perceptions, Expectations, and Challenges in Defect Prediction. IEEE Trans. Software Eng. 46(11): 1241-1266 (2020) - 2019
- [j45]Zhongxin Liu, Xin Xia
Automatic, highly accurate app permission recommendation. Autom. Softw. Eng. 26(2): 241-274 (2019) - [j44]Meng Yan
Software quality assessment model: a systematic mapping study. Sci. China Inf. Sci. 62(9): 191101:1-191101:18 (2019) - [j43]Jiajun Jiang, Yingfei Xiong, Xin Xia:
A manual inspection of Defects4J bugs and its implications for automatic program repair. Sci. China Inf. Sci. 62(10): 200102:1-200102:16 (2019) - [j42]Meng Yan
Characterizing and identifying reverted commits. Empir. Softw. Eng. 24(4): 2171-2208 (2019) - [j41]Qiao Huang, Xin Xia
Revisiting supervised and unsupervised models for effort-aware just-in-time defect prediction. Empir. Softw. Eng. 24(5): 2823-2862 (2019) - [j40]Zhiyuan Wan, David Lo
Practical and effective sandboxing for Linux containers. Empir. Softw. Eng. 24(6): 4034-4070 (2019) - [j39]Zhiyuan Wan, Lingfeng Bao, Debin Gao
AppMoD: Helping Older Adults Manage Mobile Security with Online Social Help. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 154:1-154:22 (2019) - [j38]Chao Liu
A two-phase transfer learning model for cross-project defect prediction. Inf. Softw. Technol. 107: 125-136 (2019) - [j37]Qingye Wang, Xin Xia
Why is my code change abandoned? Inf. Softw. Technol. 110: 108-120 (2019) - [j36]Tianchi Zhou, Xiaobing Sun
Improving defect prediction with deep forest. Inf. Softw. Technol. 114: 204-216 (2019) - [j35]Jing Jiang, David Lo
Who should make decision on this pull request? Analyzing time-decaying relationships and file similarities for integrator prediction. J. Syst. Softw. 154: 196-210 (2019) - [j34]Chao Ni
Multitask defect prediction. J. Softw. Evol. Process. 31(12) (2019) - [j33]Xiaoxue Ren, Zhenchang Xing, Xin Xia
Neural Network-based Detection of Self-Admitted Technical Debt: From Performance to Explainability. ACM Trans. Softw. Eng. Methodol. 28(3): 15 (2019) - [j32]Lingfeng Bao, Zhenchang Xing, Xin Xia
VT-Revolution: Interactive Programming Video Tutorial Authoring and Watching System. IEEE Trans. Software Eng. 45(8): 823-838 (2019) - [j31]Meng Yan
Automating Change-Level Self-Admitted Technical Debt Determination. IEEE Trans. Software Eng. 45(12): 1211-1229 (2019) - 2018
- [j30]Xiaobing Sun, Wenyuan Xu, Xin Xia
Personalized project recommendation on GitHub. Sci. China Inf. Sci. 61(5): 050106:1-050106:14 (2018) - [j29]Qiao Huang, Emad Shihab, Xin Xia
Identifying self-admitted technical debt in open source projects using text mining. Empir. Softw. Eng. 23(1): 418-451 (2018) - [j28]Bowen Xu, Zhenchang Xing, Xin Xia
Domain-specific cross-language relevant question retrieval. Empir. Softw. Eng. 23(2): 1084-1122 (2018) - [j27]Lingfeng Bao, Zhenchang Xing, Xin Xia
Inference of development activities from interaction with uninstrumented applications. Empir. Softw. Eng. 23(3): 1313-1351 (2018) - [j26]Yun Zhang, David Lo
Fusing multi-abstraction vector space models for concern localization. Empir. Softw. Eng. 23(4): 2279-2322 (2018) - [j25]Yuanrui Fan, Xin Xia
Early prediction of merged code changes to prioritize reviewing tasks. Empir. Softw. Eng. 23(6): 3346-3393 (2018) - [j24]Yun Zhang, David Lo
Combined classifier for cross-project defect prediction: an extended empirical study. Frontiers Comput. Sci. 12(2): 280-296 (2018) - [j23]Xin Xia
Measuring Program Comprehension: A Large-Scale Field Study with Professionals. IEEE Trans. Software Eng. 44(10): 951-976 (2018) - 2017
- [j22]Xin Xia
An effective change recommendation approach for supplementary bug fixes. Autom. Softw. Eng. 24(2): 455-498 (2017) - [j21]Lingfeng Bao, David Lo
Automated Android application permission recommendation. Sci. China Inf. Sci. 60(9): 092110:1-092110:17 (2017) - [j20]Lingfeng Bao, Jing Li, Zhenchang Xing, Xinyu Wang, Xin Xia
Extracting and analyzing time-series HCI data from screen-captured task videos. Empir. Softw. Eng. 22(1): 134-174 (2017) - [j19]Jing Jiang, David Lo
Why and how developers fork what from whom in GitHub. Empir. Softw. Eng. 22(1): 547-578 (2017) - [j18]Xin Xia
What do developers search for on the web? Empir. Softw. Eng. 22(6): 3149-3185 (2017) - [j17]Xinli Yang, David Lo
TLEL: A two-layer ensemble learning approach for just-in-time defect prediction. Inf. Softw. Technol. 87: 206-220 (2017) - [j16]Xinli Yang, David Lo
Characterizing malicious Android apps by mining topic-specific data flow signatures. Inf. Softw. Technol. 90: 27-39 (2017) - [j15]Xinli Yang, David Lo
High-Impact Bug Report Identification with Imbalanced Learning Strategies. J. Comput. Sci. Technol. 32(1): 181-198 (2017) - [j14]Xiaobing Sun, Hui Yang, Xin Xia
Enhancing developer recommendation with supplementary information via mining historical commits. J. Syst. Softw. 134: 355-368 (2017) - [j13]Xin Xia
Improving Automated Bug Triaging with Specialized Topic Model. IEEE Trans. Software Eng. 43(3): 272-297 (2017) - 2016
- [j12]Xin Xia
Diversity maximization speedup for localizing faults in single-fault and multi-fault programs. Autom. Softw. Eng. 23(1): 43-75 (2016) - [j11]Xinli Yang, David Lo
What Security Questions Do Developers Ask? A Large-Scale Study of Stack Overflow Posts. J. Comput. Sci. Technol. 31(5): 910-924 (2016) - [j10]Xin Xia
Automated Bug Report Field Reassignment and Refinement Prediction. IEEE Trans. Reliab. 65(3): 1094-1113 (2016) - [j9]Xin Xia
Collective Personalized Change Classification With Multiobjective Search. IEEE Trans. Reliab. 65(4): 1810-1829 (2016) - [j8]Xin Xia
HYDRA: Massively Compositional Model for Cross-Project Defect Prediction. IEEE Trans. Software Eng. 42(10): 977-998 (2016) - 2015
- [j7]Xin Xia
Automatic, high accuracy prediction of reopened bugs. Autom. Softw. Eng. 22(1): 75-109 (2015) - [j6]Yuan Tian, David Lo
Automated prediction of bug report priority using multi-factor analysis. Empir. Softw. Eng. 20(5): 1354-1383 (2015) - [j5]Xin Xia
ELBlocker: Predicting blocking bugs with ensemble imbalance learning. Inf. Softw. Technol. 61: 93-106 (2015) - [j4]Yun Zhang, David Lo
Multi-Factor Duplicate Question Detection in Stack Overflow. J. Comput. Sci. Technol. 30(5): 981-997 (2015) - [j3]Xinyu Wang, Xin Xia
TagCombine: Recommending Tags to Contents in Software Information Sites. J. Comput. Sci. Technol. 30(5): 1017-1035 (2015) - [j2]Xin Xia
Dual analysis for recommending developers to resolve bugs. J. Softw. Evol. Process. 27(3): 195-220 (2015) - 2014
- [j1]Xin Xia
An Empirical Study of Bugs in Software Build System. IEICE Trans. Inf. Syst. 97-D(7): 1769-1780 (2014)
Conference and Workshop Papers
- 2025
- [c195]Yubo Mai, Zhipeng Gao, Haoye Wang, Tingting Bi, Xing Hu, Xin Xia, Jianling Sun:
Towards Better Answers: Automated Stack Overflow Post Updating. ICSE 2025: 591-603 - [c194]Zifan Nan, Zhaoqiang Guo, Kui Liu, Xin Xia:
Test Intention Guided LLM-Based Unit Test Generation. ICSE 2025: 1026-1038 - [c193]Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia:
Reasoning Runtime Behavior of a Program with LLM: How Far are We? ICSE 2025: 1869-1881 - [c192]Zixuan Tan, Jiayuan Zhou, Xing Hu, Shengyi Pan, Kui Liu, Xin Xia:
Similar but Patched Code Considered Harmful: The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them. ICSE 2025: 2445-2457 - [c191]Zhuang Liu, Xing Hu, Jiayuan Zhou, Xin Xia:
From Industrial Practices to Academia: Uncovering the Gap in Vulnerability Research and Practice. MSR 2025: 129-141 - [c190]Xuancheng Jin, Zhuang Liu, Junwei Zhang, Xing Hu, Xin Xia:
Tracets4J: A Traceable Unit Test Generation Dataset. SANER 2025: 757-767 - 2024
- [c189]Xin Xia, Zhi Jin, Marco Aiello, Dongmei Zhang, Guangtai Liang, Xing Hu:
Software Service Engineering in the Era of Large Language Models. SSE 2024: xxiii - [c188]Junkai Chen
Code Search is All You Need? Improving Code Suggestions with Code Search. ICSE 2024: 73:1-73:13 - [c187]Shuzheng Gao
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. ICSE 2024: 80:1-80:13 - [c186]Shengyi Pan
Towards More Practical Automation of Vulnerability Assessment. ICSE 2024: 148:1-148:13 - [c185]Zhongxin Liu
Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. ICSE 2024: 151:1-151:13 - [c184]Qi Zhan
PS3: Precise Patch Presence Test based on Semantic Symbolic Signature. ICSE 2024: 167:1-167:12 - [c183]Zhiyuan Pan
PPT4J: Patch Presence Test for Java Binaries. ICSE 2024: 225:1-225:12 - [c182]Zirui Chen
Exploiting Library Vulnerability via Migration Based Automating Test Generation. ICSE 2024: 228:1-228:12 - [c181]Yi Gao
MUT: Human-in-the-Loop Unit Test Migration. ICSE 2024: 229:1-229:12 - [c180]Yanming Yang
Streamlining Java Programming: Uncovering Well-Formed Idioms with IdioMine. ICSE 2024: 230:1-230:12 - [c179]Tingwei Zhu, Tongtong Xu, Kui Liu, Jiayuan Zhou, Xing Hu, Xin Xia, Tian Zhang, David Lo
An Empirical Study of Automatic Program Repair Techniques for Injection Vulnerabilities. ICSME 2024: 25-37 - [c178]Junwei Zhang
Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software. Internetware 2024 - [c177]Shengyi Pan
Automating Zero-Shot Patch Porting for Hard Forks. ISSTA 2024: 363-375 - [c176]Zhipeng Xue
SelfPiCo: Self-Guided Partial Code Execution with LLMs. ISSTA 2024: 1389-1401 - [c175]Xiao Yu
Practitioners' Expectations on Automated Test Generation. ISSTA 2024: 1618-1630 - [c174]Tingwei Zhu
Exploring and Improving Code Completion for Test Code. ICPC 2024: 137-148 - [c173]Qi Zhan
REACT: IR-Level Patch Presence Test for Binary. ASE 2024: 381-392 - [c172]Xiao Yu
What Makes a High-Quality Training Dataset for Large Language Models: A Practitioners' Perspective. ASE 2024: 656-668 - [c171]Mouxiang Chen
B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. ASE 2024: 1693-1705 - [c170]Jia Feng, Jiachen Liu, Cuiyun Gao, Chun Yong Chong
ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code. ASE 2024: 1895-1906 - [c169]Jiaqi Wu
A Large-Scale Empirical Study of Open Source License Usage: Practices and Challenges. MSR 2024: 595-606 - [c168]Shengyi Pan
Unveil the Mystery of Critical Software Vulnerabilities. SIGSOFT FSE Companion 2024: 138-149 - [c167]Zhipeng Gao
Easy over Hard: A Simple Baseline for Test Failures Causes Prediction. SIGSOFT FSE Companion 2024: 306-317 - [c166]Junwei Zhang, Xing Hu, Lingfeng Bao, Xin Xia, Shanping Li:
Dual Prompt-Based Few-Shot Learning for Automated Vulnerability Patch Localization. SANER 2024: 940-951 - 2023
- [c165]Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang:
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. ICSE 2023: 17-29 - [c164]Sen Fang
RepresentThemAll: A Universal Learning Representation of Bug Reports. ICSE 2023: 602-614 - [c163]Shengyi Pan, Lingfeng Bao, Xin Xia, David Lo
Fine-grained Commit-level Vulnerability Type Prediction by CWE Tree Structure. ICSE 2023: 957-969 - [c162]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. ICSE 2023: 1495-1507 - [c161]Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. ICSE 2023: 1946-1957 - [c160]Jiayuan Zhou, Michael Pacheco, Jinfu Chen
CoLeFunDa: Explainable Silent Vulnerability Fix Identification. ICSE 2023: 2565-2577 - [c159]Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang:
Towards More Realistic Evaluation for Neural Test Oracle Generation. ISSTA 2023: 589-600 - [c158]Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. ASE 2023: 129-140 - [c157]Lingxiao Tang
Neural SZZ Algorithm. ASE 2023: 1024-1035 - [c156]Xing Hu, Zhuang Liu, Xin Xia, Zhongxin Liu, Tongtong Xu, Xiaohu Yang:
Identify and Update Test Cases When Production Code Changes: A Transformer-Based Approach. ASE 2023: 1111-1122 - [c155]Zhiyuan Wan
Software Architecture in Practice: Challenges and Opportunities. ESEC/SIGSOFT FSE 2023: 1457-1469 - [c154]Bo Lin
CCT5: A Code-Change-Oriented Pre-trained Model. ESEC/SIGSOFT FSE 2023: 1509-1521 - [c153]Chao Ni
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. ESEC/SIGSOFT FSE 2023: 1611-1622 - [c152]Yanming Yang
C³: Code Clone-Based Identification of Duplicated Components. ESEC/SIGSOFT FSE 2023: 1832-1843 - 2022
- [c151]Huan Xie
A Universal Data Augmentation Approach for Fault Localization. ICSE 2022: 48-60 - [c150]Qiuyuan Chen, Dezhen Kong, Lingfeng Bao, Chenxing Sun, Xin Xia, Shanping Li:
Code Reviewer Recommendation in Tencent: Practice, Challenge, and Direction. ICSE (SEIP) 2022: 115-124 - [c149]Xing Hu, Xin Xia, David Lo
Practitioners' Expectations on Automated Code Comment Generation. ICSE 2022: 1693-1705 - [c148]Neng Zhang, Chao Liu, Xin Xia, Christoph Treude
ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion. ICSE 2022: 1970-1981 - [c147]Lingfeng Bao, Xin Xia, Ahmed E. Hassan, Xiaohu Yang:
V-SZZ: Automatic Identification of Version Ranges Affected by CVE Vulnerabilities. ICSE 2022: 2352-2364 - [c146]Zhuo Zhang, Yan Lei, Xiaoguang Mao
Improving Fault Localization Using Model-domain Synthesized Failing Test Generation. ICSME 2022: 199-210 - [c145]Uttam Thakore, Muntasir Rahman, Xin Xia, Keun Soo Yim:
Message from the ISSRE 2022 Industry Track Committee Chairs. ISSRE Workshops 2022: xv - [c144]Chenning Tao
C4: contrastive cross-language code clone detection. ICPC 2022: 413-424 - [c143]Yanqi Su
Constructing a System Knowledge Graph of User Tasks and Failures from Bug Reports to Support Soap Opera Testing. ASE 2022: 26:1-26:13 - [c142]Haoye Tian
Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. ASE 2022: 59:1-59:13 - [c141]Lin Shi
Are we building on the rock? on the importance of data preprocessing for code summarization. ESEC/SIGSOFT FSE 2022: 107-119 - [c140]Zhiyuan Wan, Xin Xia, Yun Zhang, David Lo
What motivates software practitioners to contribute to inner source? ESEC/SIGSOFT FSE 2022: 132-144 - [c139]Chao Ni, Wei Wang, Kaiwen Yang, Xin Xia, Kui Liu, David Lo
The best of both worlds: integrating semantic features with expert features for defect prediction and localization. ESEC/SIGSOFT FSE 2022: 672-683 - [c138]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu:
Making Python code idiomatic by automatic refactoring non-idiomatic Python code with pythonic idioms. ESEC/SIGSOFT FSE 2022: 696-708 - [c137]Yucen Shi, Ying Yin, Zhengkui Wang, David Lo
How to better utilize code graphs in semantic code search? ESEC/SIGSOFT FSE 2022: 722-733 - [c136]Shengyi Pan, Jiayuan Zhou, Filipe Roseiro Côgo, Xin Xia, Lingfeng Bao, Xing Hu, Shanping Li, Ahmed E. Hassan:
Automated unearthing of dangerous issue reports. ESEC/SIGSOFT FSE 2022: 834-846 - [c135]Chao Liu, Xuanlin Bao, Xin Xia, Meng Yan
CodeMatcher: a tool for large-scale code search based on query semantics matching. ESEC/SIGSOFT FSE 2022: 1642-1646 - [c134]Menghan Wu, Yang Zhang, Jiakun Liu, Shangwen Wang, Zhang Zhang, Xin Xia, Xinjun Mao:
On the Way to Microservices: Exploring Problems and Solutions from Online Q&A Community. SANER 2022: 432-443 - [c133]Shichao Wang, Yun Zhang, Liagfeng Bao, Xin Xia, Minghui Wu:
VCMatch: A Ranking-based Approach for Automatic Security Patches Localization for OSS Vulnerabilities. SANER 2022: 589-600 - [c132]Dezhen Kong, Qiuyuan Chen, Lingfeng Bao, Chenxing Sun, Xin Xia, Shanping Li:
Recommending Code Reviewers for Proprietary Software Projects: A Large Scale Study. SANER 2022: 630-640 - 2021
- [c131]Van Cuong Bui, Sheng Wen, Jiangshan Yu
Evaluating Upgradable Smart Contract. Blockchain 2021: 252-256 - [c130]Humphrey O. Obie
A First Look at Human Values-Violation in App Reviews. ICSE-SEIS 2021: 29-38 - [c129]Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen
UIS-Hunter: Detecting UI Design Smells in Android Apps. ICSE (Companion Volume) 2021: 89-92 - [c128]Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen
Smart Contract Security: A Practitioners' Perspective: The Artifact of a Paper Accepted in the 43rd IEEE/ACM International Conference on Software Engineering (ICSE 2021). ICSE (Companion Volume) 2021: 227-228 - [c127]Zejun Zhang, Yanming Yang, Xin Xia, David Lo
Unveiling the Mystery of API Evolution in Deep Learning Frameworks: A Case Study of Tensorflow 2. ICSE (SEIP) 2021: 238-247 - [c126]Junxiao Han, Shuiguang Deng, David Lo
An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent. ICSE (SEIP) 2021: 298-307 - [c125]Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen
Don't Do That! Hunting Down Visual Design Smells in Complex UIs against Design Guidelines. ICSE 2021: 761-772 - [c124]Yuanrui Fan, Xin Xia, David Lo
A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. ICSE 2021: 1174-1185 - [c123]Haoye Wang
Automatic Solution Summarization for Crash Bugs. ICSE 2021: 1286-1297 - [c122]Zhiyuan Wan, Xin Xia
Smart Contract Security: a Practitioners' Perspective. ICSE 2021: 1410-1422 - [c121]Tingting Bi
A First Look at Accessibility Issues in Popular GitHub Projects. ICSME 2021: 390-401 - [c120]Xing Hu, Zhipeng Gao
Automating User Notice Generation for Smart Contract Functions. ASE 2021: 5-17 - [c119]Jia Li, Yongmin Li
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. ASE 2021: 155-166 - [c118]Yanqi Su
Reducing Bug Triaging Confusion by Learning from Mistakes with a Bug Tossing Knowledge Graph. ASE 2021: 191-202 - [c117]Jiayuan Zhou, Michael Pacheco
Finding A Needle in a Haystack: Automated Mining of Silent Vulnerability Fixes. ASE 2021: 705-716 - [c116]Shengyi Pan, Lingfeng Bao, Xiaoxue Ren, Xin Xia, David Lo
Automating Developer Chat Mining. ASE 2021: 854-866 - [c115]Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang:
Detecting Adversarial Samples with Graph-Guided Testing. ASE 2021: 1196-1198 - [c114]Zhipeng Gao
Automating the removal of obsolete TODO comments. ESEC/SIGSOFT FSE 2021: 218-229 - [c113]Bo Li, Qiang He, Feifei Chen, Xin Xia, Li Li, John C. Grundy
Embedding app-library graph for neural third party library recommendation. ESEC/SIGSOFT FSE 2021: 466-477 - [c112]Jiakun Liu
Characterizing search activities on stack overflow. ESEC/SIGSOFT FSE 2021: 919-931 - [c111]Xiaoxue Ren, Xinyuan Ye, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Jianling Sun:
KGAMD: an API-misuse detector driven by fine-grained API-constraint knowledge graph. ESEC/SIGSOFT FSE 2021: 1515-1519 - [c110]Zhipeng Gao
Code2Que: a tool for improving question titles from mined code snippets in stack overflow. ESEC/SIGSOFT FSE 2021: 1525-1529 - [c109]Bei Wang, Meng Yan
Quality Assurance for Automated Commit Message Generation. SANER 2021: 260-271 - [c108]Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. SANER 2021: 458-469 - 2020
- [c107]Tingmin Wu
What risk? I don't understand. An Empirical Study on Users' Understanding of the Terms Used in Security Texts. AsiaCCS 2020: 248-262 - [c106]Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo
Is using deep learning frameworks free?: characterizing technical debt in deep learning frameworks. ICSE-SEIS 2020: 1-10 - [c105]Xiaoxue Ren, Jiamou Sun, Zhenchang Xing, Xin Xia, Jianling Sun:
Demystify official API usage directives with crowdsourced API misuse scenarios, erroneous code examples and patches. ICSE 2020: 925-936 - [c104]Junxiao Han, Shuiguang Deng
An Empirical Study of the Dependency Networks of Deep Learning Libraries. ICSME 2020: 868-878 - [c103]Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin:
A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning. ICPC 2020: 37-47 - [c102]Jianjun He, Ling Xu, Meng Yan
Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks. ICPC 2020: 117-127 - [c101]Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan
Improving Code Search with Co-Attentive Representation Learning. ICPC 2020: 196-207 - [c100]Bolin Wei, Yongmin Li
Retrieve and Refine: Exemplar-based Neural Comment Generation. ASE 2020: 349-360 - [c99]Xiaoxue Ren, Xinyuan Ye, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu
API-Misuse Detection Driven by Fine-Grained API-Constraint Knowledge Graph. ASE 2020: 461-472 - [c98]Zhongxin Liu, Xin Xia, Meng Yan
Automating Just-In-Time Comment Updating. ASE 2020: 585-597 - [c97]Zhiyuan Wan, Gail C. Murphy, Xin Xia:
Predicting Code Context Models for Software Development Tasks. ASE 2020: 809-820 - [c96]Meng Yan
Effort-aware just-in-time defect identification in practice: a case study at Alibaba. ESEC/SIGSOFT FSE 2020: 1308-1319 - [c95]Boao Li, Meng Yan
DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information. ESEC/SIGSOFT FSE 2020: 1571-1575 - [c94]Lingfeng Bao, Shengyi Pan, Zhenchang Xing, Xin Xia, David Lo
Enhancing developer interactions with programming screencasts through accurate code extraction. ESEC/SIGSOFT FSE 2020: 1581-1585 - [c93]Fangcheng Qiu, Meng Yan
JITO: a tool for just-in-time defect identification and localization. ESEC/SIGSOFT FSE 2020: 1586-1590 - [c92]Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin:
Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. SANER 2020: 261-271 - 2019
- [c91]Junxiao Han, Shuiguang Deng
Characterization and Prediction of Popular Projects on GitHub. COMPSAC (1) 2019: 21-26 - [c90]Pavneet Singh Kochhar, Xin Xia, David Lo
Practitioners' views on good software testing practices. ICSE (SEIP) 2019: 61-70 - [c89]Dehai Zhao, Zhenchang Xing, Chunyang Chen
ActionNet: vision-based workflow action recognition from programming screencasts. ICSE 2019: 350-361 - [c88]Xuan-Bach Dinh Le, Lingfeng Bao, David Lo
On reliability of patch correctness assessment. ICSE 2019: 524-535 - [c87]Xin Xia, Zhiyuan Wan, Pavneet Singh Kochhar, David Lo
How practitioners perceive coding proficiency. ICSE 2019: 924-935 - [c86]Luis Cruz
Do Energy-Oriented Changes Hinder Maintainability? ICSME 2019: 29-40 - [c85]Zhe Jin
What Do Developers Discuss about Biometric APIs? ICSME 2019: 348-352 - [c84]Zhipeng Gao
SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding. ICSME 2019: 394-397 - [c83]Qingye Wang, Bowen Xu, Xin Xia, Ting Wang, Shanping Li:
Duplicate Pull Request Detection: When Time Matters. Internetware 2019: 8:1-8:10 - [c82]Xiaoxue Ren, Zhenchang Xing, Xin Xia, Guoqiang Li, Jianling Sun:
Discovering, Explaining and Summarizing Controversial Discussions in Community Q&A Sites. ASE 2019: 151-162 - [c81]Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King
Automating App Review Response Generation. ASE 2019: 163-175 - [c80]Zhongxin Liu, Xin Xia, Christoph Treude
Automatic Generation of Pull Request Descriptions. ASE 2019: 176-188 - [c79]Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin:
Code Generation as a Dual Task of Code Summarization. NeurIPS 2019: 6559-6569 - [c78]Weiqin Zou, Weiqiang Zhang, Xin Xia, Reid Holmes, Zhenyu Chen:
Branch Use in Practice: A Large-Scale Empirical Study of 2, 923 Projects on GitHub. QRS 2019: 306-317 - [c77]Liang Cai, Haoye Wang
BIKER: a tool for Bi-information source based API method recommendation. ESEC/SIGSOFT FSE 2019: 1075-1079 - [c76]Liang Cai, Haoye Wang
AnswerBot: an answer summary generation tool based on stack overflow. ESEC/SIGSOFT FSE 2019: 1134-1138 - [c75]Xinyu Wang, David Lo, Emad Shihab, Xin Xia:
Message from the General Chair, Program Co-Chairs, and Local Chair. SANER 2019: iii-iv - 2018
- [c74]Qiuyuan Chen, Lingfeng Bao, Li Li, Xin Xia, Liang Cai:
Categorizing and Predicting Invalid Vulnerabilities on Common Vulnerabilities and Exposures. APSEC 2018: 345-354 - [c73]Chao Liu, Dan Yang, Xin Xia
Cross-Project Change-Proneness Prediction. COMPSAC (1) 2018: 64-73 - [c72]Xiaoxue Ren, Qiao Huang, Xin Xia
Characterizing Common and Domain-Specific Package Bugs: A Case Study on Ubuntu. COMPSAC (1) 2018: 426-431 - [c71]Zhongxin Liu, Qiao Huang, Xin Xia
SATD detector: a text-mining-based self-admitted technical debt detection tool. ICSE (Companion Volume) 2018: 9-12 - [c70]Xin Xia, Lingfeng Bao, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li:
Measuring program comprehension: a large-scale field study with professionals. ICSE 2018: 584 - [c69]Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Ahmed E. Hassan:
Inference of development activities from interaction with uninstrumented applications. ICSE 2018: 897 - [c68]Xing Hu, Ge Li, Xin Xia, David Lo
Summarizing Source Code with Transferred API Knowledge. IJCAI 2018: 2269-2275 - [c67]Yun Zhang, David Lo
Recommending frequently encountered bugs. ICPC 2018: 120-131 - [c66]Xing Hu, Ge Li, Xin Xia
Deep code comment generation. ICPC 2018: 200-210 - [c65]Giovanni Viviani
What design topics do developers discuss? ICPC 2018: 328-331 - [c64]Qiao Huang, Xin Xia
API method recommendation without worrying about the task-API knowledge gap. ASE 2018: 293-304 - [c63]Zhongxin Liu, Xin Xia
Neural-machine-translation-based commit message generation: how far are we? ASE 2018: 373-384 - [c62]Li Li, Jun Gao
Characterising deprecated Android APIs. MSR 2018: 254-264 - [c61]Lingfeng Bao, Zhenchang Xing, Xin Xia
VT-revolution: interactive programming tutorials made possible. ESEC/SIGSOFT FSE 2018: 924-927 - 2017
- [c60]Meng Yan
Revisiting the Correlation Between Alerts and Software Defects: A Case Study on MyFaces, Camel, and CXF. COMPSAC (1) 2017: 103-108 - [c59]Meng Yan
File-Level Defect Prediction: Unsupervised vs. Supervised Models. ESEM 2017: 344-353 - [c58]Meng Yan
Learning to aggregate: an automated aggregation method for software quality model. ICSE (Companion Volume) 2017: 268-270 - [c57]Qiao Huang, Xin Xia, David Lo
Supervised vs Unsupervised Models: A Holistic Look at Effort-Aware Just-in-Time Defect Prediction. ICSME 2017: 159-170 - [c56]Xin Xia
Personality and Project Success: Insights from a Large-Scale Study with Professionals. ICSME 2017: 318-328 - [c55]Meng Yan
Automating Aggregation for Software Quality Modeling. ICSME 2017: 529-533 - [c54]Zhiyuan Wan, David Lo
Mining Sandboxes for Linux Containers. ICST 2017: 92-102 - [c53]Wenyuan Xu, Xiaobing Sun, Xin Xia
Scalable Relevant Project Recommendation on GitHub. Internetware 2017: 9:1-9:10 - [c52]Huan Yu, Xin Xia
Combining Collaborative Filtering and Topic Modeling for More Accurate Android Mobile App Library Recommendation. Internetware 2017: 17:1-17:6 - [c51]Qiao Huang, David Lo
Which Packages Would be Affected by This Bug Report? ISSRE 2017: 124-135 - [c50]Tao Zhang
Bug report enrichment with application of automated fixer recommendation. ICPC 2017: 230-240 - [c49]Bowen Xu, Zhenchang Xing, Xin Xia
AnswerBot: automated generation of answer summary to developersź technical questions. ASE 2017: 706-716 - [c48]Lingfeng Bao, Zhenchang Xing, Xin Xia
Who will leave the company?: a large-scale industry study of developer turnover by mining monthly work report. MSR 2017: 170-181 - [c47]Zhiyuan Wan, David Lo
Bug characteristics in blockchain systems: a large-scale empirical study. MSR 2017: 413-424 - [c46]Meng Yan
A Systematic Mapping Study of Quality Assessment Models for Software Products. SATE 2017: 63-71 - [c45]Bowen Xu, Zhenchang Xing, Xin Xia
XSearch: a domain-specific cross-language relevant question retrieval tool. ESEC/SIGSOFT FSE 2017: 1009-1013 - [c44]Yun Zhang, David Lo
Detecting similar repositories on GitHub. SANER 2017: 13-23 - 2016
- [c43]Xinli Yang, David Lo
Condensing Class Diagrams With Minimal Manual Labeling Cost. COMPSAC 2016: 22-31 - [c42]Xin Xia
It Takes Two to Tango: Deleted Stack Overflow Question Prediction with Text and Meta Features. COMPSAC 2016: 73-82 - [c41]Xinli Yang, David Lo
Automated Identification of High Impact Bug Reports Leveraging Imbalanced Learning Strategies. COMPSAC 2016: 227-232 - [c40]Xin Xia
Predicting Crashing Releases of Mobile Applications. ESEM 2016: 29:1-29:10 - [c39]Yun Zhang, David Lo
Inferring Links between Concerns and Methods with Multi-abstraction Vector Space Model. ICSME 2016: 110-121 - [c38]Xin Xia
"Automated Debugging Considered Harmful" Considered Harmful: A User Study Revisiting the Usefulness of Spectra-Based Fault Localization Techniques with Professionals Using Real Bugs from Large Systems. ICSME 2016: 267-278 - [c37]Xinli Yang, David Lo
Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports. ISSRE 2016: 127-137 - [c36]Pavneet Singh Kochhar, Xin Xia
Practitioners' expectations on automated fault localization. ISSTA 2016: 165-176 - [c35]Bowen Xu, Deheng Ye, Zhenchang Xing, Xin Xia
Predicting semantically linkable knowledge in developer online forums via convolutional neural network. ASE 2016: 51-62 - [c34]Lingfeng Bao, David Lo
How android app developers manage power consumption?: an empirical study by mining power management commits. MSR 2016: 37-48 - [c33]Bowen Xu, Zhenchang Xing, Xin Xia
Domain-specific cross-language relevant question retrieval. MSR 2016: 413-424 - [c32]Lingfeng Bao, David Lo
What Permissions Should This Android App Request? SATE 2016: 36-41 - 2015
- [c31]Bowen Xu, David Lo
EFSPredictor: Predicting Configuration Bugs with Ensemble Feature Selection. APSEC 2015: 206-213 - [c30]Weiqin Zou, Xin Xia
An Empirical Study of Bug Fixing Rate. COMPSAC 2015: 254-263 - [c29]Yun Zhang, David Lo
An Empirical Study of Classifier Combination for Cross-Project Defect Prediction. COMPSAC 2015: 264-269 - [c28]Xin Xia
Customer satisfaction feedback in an IT outsourcing company: a case study on the insigma Hengtian company. EASE 2015: 34:1-34:5 - [c27]Yun Zhang, David Lo
Combining Software Metrics and Text Features for Vulnerable File Prediction. ICECCS 2015: 40-49 - [c26]Xin Xia
Who should review this change?: Putting text and file location analyses together for more accurate recommendations. ICSME 2015: 261-270 - [c25]Xin Xia
Experience report: An industrial experience report on test outsourcing practices. ISSRE 2015: 370-380 - [c24]Lingfeng Bao, Deheng Ye, Zhenchang Xing, Xin Xia
ActivitySpace: A Remembrance Framework to Support Interapplication Information Needs. ASE 2015: 864-869 - [c23]Xinli Yang, David Lo
Deep Learning for Just-in-Time Defect Prediction. QRS 2015: 17-26 - [c22]Xiao Xuan, David Lo
Evaluating defect prediction approaches using a massive set of metrics: an empirical study. SAC 2015: 1644-1647 - [c21]Xin Xia
Cross-project build co-change prediction. SANER 2015: 311-320 - 2014
- [c20]Bo Zhou, Xin Xia
Build Predictor: More Accurate Missed Dependency Prediction in Build Configuration Files. COMPSAC 2014: 53-58 - [c19]Xin Xia
Automated Configuration Bug Report Prediction Using Text Mining. COMPSAC 2014: 107-116 - [c18]Xin Xia
Towards more accurate multi-label software behavior learning. CSMR-WCRE 2014: 134-143 - [c17]Xin Xia
An empirical study of bug report field reassignment. CSMR-WCRE 2014: 174-183 - [c16]Xin Xia
Automatic Defect Categorization Based on Fault Triggering Conditions. ICECCS 2014: 39-48 - [c15]Xinyu Wang, David Lo
BOAT: an experimental platform for researchers to comparatively and reproducibly evaluate bug localization techniques. ICSE Companion 2014: 572-575 - [c14]Bo Zhou, Xin Xia
Towards more accurate content categorization of API discussions. ICPC 2014: 95-105 - [c13]Xin Xia
Cross-language bug localization. ICPC 2014: 275-278 - [c12]Lucia, David Lo
Fusion fault localizers. ASE 2014: 127-138 - [c11]Xin Xia
Build system analysis with link prediction. SAC 2014: 1184-1186 - [c10]Xiaoqiong Zhao, Xin Xia
An empirical study of bugs in build process. SAC 2014: 1187-1189 - 2013
- [c9]Xin Xia
A Comparative Study of Supervised Learning Algorithms for Re-opened Bug Prediction. CSMR 2013: 331-334 - [c8]Xin Xia
Software Internationalization and Localization: An Industrial Experience. ICECCS 2013: 222-231 - [c7]Xin Xia
Tag recommendation in software information sites. MSR 2013: 287-296 - [c6]Xin Xia
An Empirical Study of Bugs in Software Build Systems. QSIC 2013: 200-203 - [c5]Xin Xia
Accurate developer recommendation for bug resolution. WCRE 2013: 72-81 - 2012
- [c4]Xin Xia
Information Credibility on Twitter in Emergency Situation. PAISI 2012: 45-59 - [c3]Xin Xia
Instance-Ranking: A New Perspective to Consider the Instance Dependency for Classification. PAKDD Workshops 2012: 112-123 - 2011
- [c2]Xin Xia
RW.KNN: a proposed random walk KNN algorithm for multi-label classification. PIKM@CIKM 2011: 87-90 - [c1]Bo Zhou, Manna Wu, Xin Xia
Ranking in Co-effecting Multi-object/Link Types Networks. ICTAI 2011: 519-522
Editorship
- 2024
- [e3]David Lo, Xin Xia, Massimiliano Di Penta, Xing Hu:
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, FORGE 2024, Lisbon, Portugal, 14 April 2024. ACM 2024 [contents] - 2023
- [e2]Hong Mei, Jian Lv, Zhi Jin, Xuandong Li, Xiaohu Yang, Xin Xia:
Proceedings of the 14th Asia-Pacific Symposium on Internetware, Internetware 2023, Hangzhou, China, August 4-6, 2023. ACM 2023 [contents] - [e1]Tao Zhang, Xin Xia, Nicole Novielli:
IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023, Taipa, Macao, March 21-24, 2023. IEEE 2023, ISBN 978-1-6654-5278-6 [contents]
Informal and Other Publications
- 2025
- [i105]Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia:
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities. CoRR abs/2501.13742 (2025) - [i104]Ruiqi Wang, Jiyu Guo, Cuiyun Gao, Guodong Fan, Chun Yong Chong, Xin Xia:
Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering. CoRR abs/2502.06193 (2025) - [i103]Junwei Zhang, Xing Hu, Shan Gao, Xin Xia, David Lo, Shanping Li:
Less is More: On the Importance of Data Quality for Unit Test Generation. CoRR abs/2502.14212 (2025) - [i102]Jianhang Xiang, Zhipeng Gao, Lingfeng Bao, Xing Hu, Jiayuan Chen, Xin Xia:
Automating Comment Generation for Smart Contract from Bytecode. CoRR abs/2503.15270 (2025) - [i101]Lishui Fan, Zhongxin Liu, Haoye Wang, Lingfeng Bao, Xin Xia, Shanping Li:
FAIT: Fault-Aware Fine-Tuning for Better Code Generation. CoRR abs/2503.16913 (2025) - [i100]Zirui Chen, Xing Hu, Puhua Sun, Xin Xia, Xiaohu Yang:
Generating Mitigations for Downstream Projects to Neutralize Upstream Library Vulnerability. CoRR abs/2503.24273 (2025) - [i99]Feifei Niu, Chuanyi Li, Kui Liu, Xin Xia, David Lo:
When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey. CoRR abs/2505.00144 (2025) - [i98]Xing Hu, Feifei Niu, Junkai Chen, Xin Zhou, Junwei Zhang, Junda He, Xin Xia, David Lo:
Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks. CoRR abs/2505.08903 (2025) - [i97]Xiao Yu, Haoxuan Chen, Feifei Niu, Xing Hu, Jacky Wai Keung, Xin Xia:
Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models. CoRR abs/2506.10426 (2025) - [i96]Zhiyuan Pan, Xing Hu, Xin Xia, Xiaohu Yang:
Re-Evaluating Code LLM Benchmarks Under Semantic Mutation. CoRR abs/2506.17369 (2025) - 2024
- [i95]Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. CoRR abs/2401.01060 (2024) - [i94]Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang:
Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. CoRR abs/2402.00657 (2024) - [i93]Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia:
Evaluating Large Language Models with Runtime Behavior of Program Execution. CoRR abs/2403.16437 (2024) - [i92]Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li:
Automating Zero-Shot Patch Porting for Hard Forks. CoRR abs/2404.17964 (2024) - [i91]Zhipeng Gao, Zhipeng Xue, Xing Hu, Weiyi Shang, Xin Xia:
Easy over Hard: A Simple Baseline for Test Failures Causes Prediction. CoRR abs/2405.02922 (2024) - [i90]SiQi Wang, Xing Hu, Bei Wang, WenXin Yao, Xin Xia, XingYu Wang:
Insights into Deep Learning Refactoring: Bridging the Gap Between Practices and Expectations. CoRR abs/2405.04861 (2024) - [i89]Zhipeng Gao, Yanqi Su, Xing Hu, Xin Xia:
Automating TODO-missed Methods Detection and Patching. CoRR abs/2405.06225 (2024) - [i88]Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia:
Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks? CoRR abs/2405.12641 (2024) - [i87]Zezhou Yang, Cuiyun Gao, Zhaoqiang Guo, Zhenhao Li, Kui Liu, Xin Xia, Yuming Zhou:
A Survey on Modern Code Review: Progresses, Challenges and Opportunities. CoRR abs/2405.18216 (2024) - [i86]Zhiyuan Pan, Xing Hu, Xin Xia, Xiaohu Yang:
Enhancing Repository-Level Code Generation with Integrated Contextual Information. CoRR abs/2406.03283 (2024) - [i85]Qiheng Mao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia, Jianling Sun:
Towards Effectively Detecting and Explaining Vulnerabilities Using Large Language Models. CoRR abs/2406.09701 (2024) - [i84]Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia:
Where Are Large Language Models for Code Generation on GitHub? CoRR abs/2406.19544 (2024) - [i83]Junkai Chen, Zhenhao Li, Xing Hu, Xin Xia:
NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations. CoRR abs/2406.19783 (2024) - [i82]Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li:
Exploring the Capabilities of LLMs for Code Change Related Tasks. CoRR abs/2407.02824 (2024) - [i81]Zhipeng Xue, Zhipeng Gao, Shaohua Wang, Xing Hu, Xin Xia, Shanping Li:
SelfPiCo: Self-Guided Partial Code Execution with LLMs. CoRR abs/2407.16974 (2024) - [i80]Yubo Mai, Zhipeng Gao, Haoye Wang, Tingting Bi, Xing Hu, Xin Xia, Jianling Sun:
Towards Better Answers: Automated Stack Overflow Post Updating. CoRR abs/2408.09095 (2024) - [i79]Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun:
B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. CoRR abs/2409.08692 (2024) - [i78]Jia Feng, Jiachen Liu, Cuiyun Gao, Chun Yong Chong, Chaozheng Wang, Shan Gao, Xin Xia:
ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code. CoRR abs/2409.10280 (2024) - [i77]Yi Gao, Xing Hu, Tongtong Xu, Xin Xia, Xiaohu Yang:
A Rule-Based Approach for UI Migration from Android to iOS. CoRR abs/2409.16656 (2024) - [i76]Yi Gao, Xing Hu, Zirui Chen, Xiaohu Yang, Xin Xia:
Unit Test Generation for Vulnerability Exploitation in Java Third-Party Libraries. CoRR abs/2409.16701 (2024) - [i75]Yi Gao, Xing Hu, Xiaohu Yang, Xin Xia:
Context-Enhanced LLM-Based Framework for Automatic Test Refactoring. CoRR abs/2409.16739 (2024) - [i74]Zhenhao Li, Junkai Chen, Qiheng Mao, Xing Hu, Kui Liu, Xin Xia:
Studying Practitioners' Expectations on Clear Code Review Comments. CoRR abs/2410.06515 (2024) - [i73]Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang:
Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities. CoRR abs/2410.13110 (2024) - [i72]Cuiyun Gao, Xing Hu, Shan Gao, Xin Xia, Zhi Jin:
The Current Challenges of Software Engineering in the Era of Large Language Models. CoRR abs/2412.14554 (2024) - [i71]Zixuan Tan, Jiayuan Zhou, Xing Hu, Shengyi Pan, Kui Liu, Xin Xia:
Similar but Patched Code Considered Harmful - The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them. CoRR abs/2412.20740 (2024) - [i70]Qi Zhan, Xing Hu, Xin Xia, Shanping Li:
Verified Lifting of Deep learning Operators. CoRR abs/2412.20992 (2024) - 2023
- [i69]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. CoRR abs/2301.12633 (2023) - [i68]Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang:
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. CoRR abs/2302.03924 (2023) - [i67]Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. CoRR abs/2304.14042 (2023) - [i66]Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao
CCT5: A Code-Change-Oriented Pre-Trained Model. CoRR abs/2305.10785 (2023) - [i65]Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo:
Multi-Granularity Detector for Vulnerability Fixes. CoRR abs/2305.13884 (2023) - [i64]Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang:
Towards More Realistic Evaluation for Neural Test Oracle Generation. CoRR abs/2305.17047 (2023) - [i63]Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. CoRR abs/2308.08836 (2023) - [i62]Zhiyuan Wan, Yun Zhang, Xin Xia, Yi Jiang, David Lo:
Software Architecture in Practice: Challenges and Opportunities. CoRR abs/2308.09978 (2023) - [i61]Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia:
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. CoRR abs/2308.11237 (2023) - [i60]Jia Allen Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin:
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. CoRR abs/2308.13775 (2023) - [i59]Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li:
PS3: Precise Patch Presence Test based on Semantic Symbolic Signature. CoRR abs/2312.03393 (2023) - [i58]Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang:
Exploiting Library Vulnerability via Migration Based Automating Test Generation. CoRR abs/2312.09564 (2023) - [i57]Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang:
PPT4J: Patch Presence Test for Java Binaries. CoRR abs/2312.11013 (2023) - 2022
- [i56]Filipe Roseiro Côgo, Xin Xia, Ahmed E. Hassan:
Assessing the alignment between the information needs of developers and the documentation of programming languages: A case study on Rust. CoRR abs/2202.04431 (2022) - [i55]Chao Ni, Kaiwen Yang, Xin Xia, David Lo, Xiang Chen, Xiaohu Yang:
Defect Identification, Categorization, and Repair: Better Together. CoRR abs/2204.04856 (2022) - [i54]Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia:
1+1>2: Programming Know-What and Know-How Knowledge Fusion, Semantic Enrichment and Coherent Application. CoRR abs/2207.05560 (2022) - [i53]Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang:
Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization. CoRR abs/2207.05579 (2022) - [i52]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu:
Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms. CoRR abs/2207.05613 (2022) - [i51]Yujia Chen, Xiaoxue Ren, Cuiyun Gao, Yun Peng, Xin Xia, Michael R. Lyu:
API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning. CoRR abs/2208.01971 (2022) - [i50]Haoye Tian
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. CoRR abs/2208.04125 (2022) - [i49]Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Xindong Zhang, Zhenchang Xing:
I Know What You Are Searching For: Code Snippet Recommendation from Stack Overflow Posts. CoRR abs/2210.15845 (2022) - [i48]Zhipeng Gao, Xin Xia, David Lo, John C. Grundy:
Technical Q&A Site Answer Recommendation via Question Boosting. CoRR abs/2210.15846 (2022) - [i47]Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia:
Poison Attack and Defense on Deep Source Code Processing Models. CoRR abs/2210.17029 (2022) - 2021
- [i46]Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
An Exploratory Study on the Introduction and Removal of Different Types of Technical Debt. CoRR abs/2101.03730 (2021) - [i45]Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang:
Smart Contract Security: a Practitioners' Perspective. CoRR abs/2102.10963 (2021) - [i44]Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li:
A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. CoRR abs/2103.00141 (2021) - [i43]Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, Xin Xia:
An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent. CoRR abs/2103.01590 (2021) - [i42]Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xin Xia, Liming Zhu, John C. Grundy, Jinshui Wang:
Wireframe-Based UI Design Search Through Image Autoencoder. CoRR abs/2103.07085 (2021) - [i41]Tingting Bi
Accessibility in Software Practice: A Practitioner's Perspective. CoRR abs/2103.08778 (2021) - [i40]Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Minghui Wu, Xiaohu Yang:
psc2code: Denoising Code Extraction from Programming Screencasts. CoRR abs/2103.11610 (2021) - [i39]Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Bailin Xiao, Wei Dong, Xiangke Liao:
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. CoRR abs/2103.13020 (2021) - [i38]Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin:
Modular Tree Network for Source Code Representation Learning. CoRR abs/2104.00196 (2021) - [i37]Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang:
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. CoRR abs/2104.01032 (2021) - [i36]Jiakun Liu, Haoxiang Zhang, Xin Xia, David Lo, Ying Zou, Ahmed E. Hassan, Shanping Li:
An Exploratory Study on the Repeatedly Shared External Links on Stack Overflow. CoRR abs/2104.03518 (2021) - [i35]Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia:
Code Structure Guided Transformer for Source Code Summarization. CoRR abs/2104.09340 (2021) - [i34]Tingting Bi
Mining Architecture Tactics and Quality Attributes Knowledge in Stack Overflow. CoRR abs/2105.07940 (2021) - [i33]Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang:
GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network. CoRR abs/2107.07043 (2021) - [i32]Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann:
Automating the Removal of Obsolete TODO Comments. CoRR abs/2108.05846 (2021) - [i31]Mojtaba Shahin, Chris Gonsalvez, Jon Whittle, Chunyang Chen, Li Li, Xin Xia:
How Secondary School Girls Perceive Computational Thinking Practices through Collaborative Programming with the Micro: bit. CoRR abs/2110.00812 (2021) - 2020
- [i30]Zhipeng Gao, Lingxiao Jiang, Xin Xia, David Lo, John C. Grundy:
Checking Smart Contracts with Structural Code Embedding. CoRR abs/2001.07125 (2020) - [i29]Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. CoRR abs/2002.03552 (2020) - [i28]Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin:
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. CoRR abs/2002.08653 (2020) - [i27]Jiachi Chen, Xin Xia, David Lo, John C. Grundy:
Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum. CoRR abs/2005.07908 (2020) - [i26]Zhipeng Gao, Xin Xia, John C. Grundy, David Lo, Yuan-Fang Li:
Generating Question Titles for Stack Overflow from Mined Code Snippets. CoRR abs/2005.10157 (2020) - [i25]Lingfeng Bao, Tao Li, Xin Xia, Kaiyu Zhu, Hui Li, Xiaohu Yang:
How does Working from Home Affect Developer Productivity? - A Case Study of Baidu During COVID-19 Pandemic. CoRR abs/2005.13167 (2020) - [i24]Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li:
Simplifying Deep-Learning-Based Model for Code Search. CoRR abs/2005.14373 (2020) - [i23]Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
On the Replicability and Reproducibility of Deep Learning in Software Engineering. CoRR abs/2006.14244 (2020) - [i22]Tingmin Wu, Wanlun Ma, Sheng Wen, Xin Xia, Cécile Paris, Surya Nepal, Yang Xiang:
Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity. CoRR abs/2006.14765 (2020) - [i21]Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
Maintaining Smart Contracts on Ethereum: Issues, Techniques, and Future Challenges. CoRR abs/2007.00286 (2020) - [i20]Rubing Huang, Weifeng Sun, Yinyin Xu, Haibo Chen, Dave Towey, Xin Xia:
A Survey on Adaptive Random Testing. CoRR abs/2007.03885 (2020) - [i19]Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Yuan-Fang Li:
Code2Que: A Tool for Improving Question Titles from Mined Code Snippets in Stack Overflow. CoRR abs/2007.10851 (2020) - [i18]Yanming Yang, Xin Xia, David Lo, Tingting Bi, John C. Grundy, Xiaohu Yang:
Predictive Models in Software Engineering: Challenges and Opportunities. CoRR abs/2008.03656 (2020) - [i17]Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. CoRR abs/2008.09976 (2020) - [i16]Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis. CoRR abs/2008.12112 (2020) - [i15]Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiapu Luo, Ting Chen:
DEFECTCHECKER: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode. CoRR abs/2009.02663 (2020) - [i14]Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li:
What Makes a Popular Academic AI Repository? CoRR abs/2010.02472 (2020) - [i13]Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin:
Retrieve and Refine: Exemplar-based Neural Comment Generation. CoRR abs/2010.04459 (2020) - [i12]Jiakun Liu, Xin Xia, David Lo, Haoxiang Zhang, Ying Zou, Ahmed E. Hassan, Shanping Li:
Broken External Links on Stack Overflow. CoRR abs/2010.04892 (2020) - [i11]Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu:
Automating App Review Response Generation Based on Contextual Knowledge. CoRR abs/2010.06301 (2020) - [i10]Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy:
Opportunities and Challenges in Code Search Tools. CoRR abs/2011.02297 (2020) - [i9]Yanming Yang, Xin Xia, David Lo, John C. Grundy:
A Survey on Deep Learning for Software Engineering. CoRR abs/2011.14597 (2020) - [i8]Humphrey O. Obie, Waqar Hussain, Xin Xia, John C. Grundy, Li Li, Burak Turhan, Jon Whittle, Mojtaba Shahin:
A First Look at Human Values-Violation in App Reviews. CoRR abs/2012.10095 (2020) - 2019
- [i7]Jiachi Chen, Xin Xia, David Lo, John Grundy, Daniel Xiapu Luo, Ting Chen:
Domain Specific Code Smells in Smart Contracts. CoRR abs/1905.01467 (2019) - [i6]Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia:
Do Energy-oriented Changes Hinder Maintainability? CoRR abs/1908.08332 (2019) - [i5]Zhipeng Gao, Vinoj Jayasundara, Lingxiao Jiang, Xin Xia, David Lo, John C. Grundy:
SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding. CoRR abs/1908.08615 (2019) - [i4]Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li:
Automatic Generation of Pull Request Descriptions. CoRR abs/1909.06987 (2019) - [i3]Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin:
Code Generation as a Dual Task of Code Summarization. CoRR abs/1910.05923 (2019) - 2018
- [i2]Xuan-Bach Dinh Le, Lingfeng Bao, David Lo, Xin Xia, Shanping Li:
On Reliability of Patch Correctness Assessment. CoRR abs/1805.05983 (2018) - 2017
- [i1]Zhiyuan Wan, David Lo, Xin Xia, Liang Cai, Shanping Li:
Mining Sandboxes for Linux Containers. CoRR abs/1712.05493 (2017)
Coauthor Index
[j133] [j129] [j115] [j103] [j102] [j94] [j93] [j92] [j90] [j87] [j86] [j83] [j82] [j77] [j73] [j69] [j66] [j57] [j53] [j51] [j45] [j33] [c172] [c152] [c130] [c127] [c123] [c114] [c113] [c110] [c86] [c84] [i49] [i48] [i42] [i41] [i32] [i30] [i27] [i26] [i23] [i21] [i19] [i18] [i15] [i10] [i9] [i8] [i7] [i6] [i5]
[j139] [j138] [j136] [j135] [j134] [j126] [j125] [j124] [j122] [j121] [j105] [j91] [j55] [c195] [c193] [c192] [c191] [c190] [c189] [c188] [c187] [c186] [c184] [c183] [c182] [c181] [c180] [c179] [c178] [c177] [c176] [c175] [c173] [c172] [c169] [c168] [c167] [c166] [c160] [c158] [c156] [c152] [c149] [c144] [c136] [c120] [c119] [c95] [c68] [c66] [e3] [i105] [i103] [i102] [i100] [i98] [i97] [i96] [i95] [i93] [i92] [i91] [i90] [i89] [i88] [i86] [i85] [i84] [i83] [i81] [i80] [i77] [i76] [i75] [i74] [i73] [i72] [i71] [i70] [i63] [i60] [i59] [i58] [i57] [i47]
[j111] [j110] [j105] [j101] [j95] [j88] [j79] [j76] [j75] [j68] [j62] [j60] [j44] [j42] [j37] [j29] [j28] [j25] [j23] [j21] [c186] [c184] [c177] [c176] [c173] [c168] [c166] [c163] [c150] [c136] [c132] [c129] [c125] [c124] [c116] [c106] [c98] [c88] [c83] [c80] [c71] [c70] [c61] [c56] [c54] [c51] [c48] [c38] [c36] [c35] [c33] [c32] [c31] [c28] [c27] [c25] [c15] [c10] [c9] [c4] [c3] [c2] [i103] [i101] [i92] [i82] [i81] [i70] [i59] [i46] [i44] [i36] [i24] [i14] [i12] [i4] [i2] [i1]
[j133] [j124] [j123] [j115] [j113] [j111] [j110] [j107] [j106] [j103] [j102] [j101] [j99] [j96] [j95] [j94] [j93] [j92] [j91] [j90] [j89] [j88] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [j78] [j77] [j76] [j75] [j73] [j69] [j68] [j66] [j65] [j62] [j61] [j60] [j58] [j57] [j55] [j52] [j51] [j49] [j48] [j47] [j46] [j45] [j42] [j41] [j40] [j39] [j37] [j35] [j33] [j32] [j31] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j19] [j18] [j17] [j16] [j15] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c188] [c184] [c183] [c182] [c181] [c180] [c179] [c175] [c171] [c163] [c160] [c155] [c152] [c149] [c148] [c140] [c139] [c137] [c135] [c128] [c127] [c126] [c124] [c123] [c122] [c121] [c120] [c117] [c116] [c114] [c112] [c110] [c106] [c104] [c96] [c95] [c94] [c93] [c90] [c88] [c87] [c84] [c81] [c80] [c77] [c76] [c75] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c64] [c63] [c61] [c59] [c57] [c56] [c54] [c51] [c49] [c48] [c47] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [e3] [i103] [i99] [i98] [i82] [i79] [i65] [i62] [i59] [i58] [i57] [i55] [i49] [i48] [i46] [i45] [i44] [i43] [i41] [i40] [i36] [i32] [i30] [i29] [i27] [i26] [i24] [i23] [i21] [i19] [i18] [i17] [i16] [i15] [i14] [i12] [i11] [i10] [i9] [i7] [i5] [i4] [i2] [i1]
Jianling Sun
aka: Jian-Ling Sun
aka: Jian-Ling Sun
[j127] [j115] [j114] [j112] [j84] [j60] [j53] [j52] [j33] [j32] [j28] [j27] [j23] [j20] [j18] [c178] [c162] [c161] [c153] [c143] [c138] [c129] [c125] [c118] [c111] [c105] [c99] [c94] [c89] [c82] [c77] [c76] [c72] [c70] [c69] [c64] [c63] [c61] [c49] [c48] [c45] [c35] [c33] [c25] [c24] [i69] [i67] [i61] [i54] [i52] [i49] [i42] [i40]
[j138] [j129] [j126] [j104] [j103] [j94] [j92] [j89] [j73] [j52] [j46] [j31] [j9] [j5] [c185] [c183] [c182] [c181] [c180] [c169] [c165] [c159] [c156] [c147] [c128] [c122] [c120] [c94] [c26] [c15] [c9] [c4] [c3] [c2] [e2] [i100] [i96] [i94] [i86] [i77] [i76] [i75] [i68] [i64] [i58] [i57] [i55] [i45] [i40] [i25] [i23] [i21] [i18] [i10]
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