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20th MSR 2023: Melbourne, Australia
- 20th IEEE/ACM International Conference on Mining Software Repositories, MSR 2023, Melbourne, Australia, May 15-16, 2023. IEEE 2023, ISBN 979-8-3503-1184-6
- Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding:
Understanding the Time to First Response in GitHub Pull Requests. 1-11 - Phuong T. Nguyen
, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? 12-24 - Jirat Pasuksmit, Fan Jiang, Kemp Thornton, Arik Friedman, Natalija Fuksmane, Isabelle Kohout, Julian Connor:
Improving Agile Planning for Reliable Software Delivery. 25-26 - Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. 27-38 - Chao Wang, Zhenpeng Chen
AutoML from Software Engineering Perspective: Landscapes and Challenges. 39-51 - Chengjie Lu, Tao Yue, Shaukat Ali:
DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing. 52-56 - Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis:
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. 57-61 - Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo
NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. 62-66 - Henry Tang, Sarah Nadi:
Evaluating Software Documentation Quality. 67-78 - Zhou Yang, Chenyu Wang, Jieke Shi
What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. 79-91 - Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo
Picaso: Enhancing API Recommendations with Relevant Stack Overflow Posts. 92-103 - Nafiseh Nikeghbal
GIRT-Data: Sampling GitHub Issue Report Templates. 104-108 - Joshua D. Scarsbrook
TypeScript's Evolution: An Analysis of Feature Adoption Over Time. 109-114 - Tobias Litzenberger, Johannes Düsing
DGMF: Fast Generation of Comparable, Updatable Dependency Graphs for Software Repositories. 115-119 - Satrio Adi Rukmono, Michel R. V. Chaudron:
Enabling Analysis and Reasoning on Software Systems through Knowledge Graph Representation. 120-124 - Simon Schneider, Tufan Özen, Michael Chen, Riccardo Scandariato:
microSecEnD: A Dataset of Security-Enriched Dataflow Diagrams for Microservice Applications. 125-129 - Alexander Nicholson, Quentin Stiévenart, Arash Mazidi, Mohammad Ghafari:
Wasmizer: Curating WebAssembly-driven Projects on GitHub. 130-141 - Md Tajmilur Rahman:
Feature Toggle Usage Patterns: A Case Study on Google Chromium. 142-147 - Seif Abukhalaf
On Codex Prompt Engineering for OCL Generation: An Empirical Study. 148-157 - Bernd Gruner
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System. 158-169 - Tim van Dam, Maliheh Izadi, Arie van Deursen
Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study. 170-182 - Iman Saberi, Fatemeh H. Fard:
Model-Agnostic Syntactical Information for Pre-Trained Programming Language Models. 183-193 - Md. Abul Kalam Azad, Nafees Iqbal, Foyzul Hassan, Probir Roy
An Empirical Study of High Performance Computing (HPC) Performance Bugs. 194-206 - Brandon N. Keller
What Happens When We Fuzz? Investigating OSS-Fuzz Bug History. 207-217 - Themistoklis Diamantopoulos, Dimitrios-Nikitas Nastos, Andreas L. Symeonidis:
Semantically-enriched Jira Issue Tracking Data. 218-222 - Leonhard Applis, Annibale Panichella:
HasBugs - Handpicked Haskell Bugs. 223-227 - Jueun Heo, Seonah Lee:
An Empirical Study on the Performance of Individual Issue Label Prediction. 228-233 - Hamid Mohayeji, Andrei Agaronian, Eleni Constantinou
Investigating the Resolution of Vulnerable Dependencies with Dependabot Security Updates. 234-246 - Diego Saraiva, Daniel Alencar da Costa, Uirá Kulesza, Gustavo Sizílio, José Gameleira Neto, Roberta Coelho, Meiyappan Nagappan:
Unveiling the Relationship Between Continuous Integration and Code Coverage. 247-259 - Pablo Valenzuela-Toledo, Alexandre Bergel, Timo Kehrer, Oscar Nierstrasz:
EGAD: A moldable tool for GitHub Action analysis. 260-264 - Arik Friedman, Rohan Dhupelia, Ben Jackson:
The Atlassian Data Lake: consolidating enriched software development data in a single, queryable system. 265-266 - Gunnar Kudrjavets
Are We Speeding Up or Slowing Down? On Temporal Aspects of Code Velocity. 267-271 - Abdul Ali Bangash, Kalvin Eng, Jamal Qasim, Karim Ali, Abram Hindle:
Energy Consumption Estimation of API-usage in Smartphone Apps via Static Analysis. 272-283 - Shriram Shanbhag, Sridhar Chimalakonda:
An Exploratory Study on Energy Consumption of Dataframe Processing Libraries. 284-295 - Laura Duits, Isha Kashyap, Joey Bekkink, Kousar Aslam, Emitzá Guzmán:
Whistleblowing and Tech on Twitter. 296-308 - Anna-Katharina Wickert, Clemens Damke, Lars Baumgärtner, Eyke Hüllermeier, Mira Mezini:
UnGoML: Automated Classification of unsafe Usages in Go. 309-321 - Gerhard Jungwirth, Aakanksha Saha, Michael Schröder, Tobias Fiebig
Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps. 322-333 - Hoang H. Nguyen
MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection. 334-346 - Setu Kumar Basak, Lorenzo Neil, Bradley Reaves, Laurie A. Williams:
SecretBench: A Dataset of Software Secrets. 347-351 - Weijie Sun, Samuel Iwuchukwu, Abdul Ali Bangash, Abram Hindle:
An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS). 352-356 - Arifa I. Champa, Md. Fazle Rabbi, Minhaz F. Zibran, Md. Rakibul Islam
Insights into Female Contributions in Open-Source Projects. 357-361 - Piotr Przymus, Mikolaj Fejzer, Jakub Narebski
The Secret Life of CVEs. 362-366 - Anisha Islam, Nipuni Tharushika Hewage, Abdul Ali Bangash, Abram Hindle:
Evolution of the Practice of Software Testing in Java Projects. 367-371 - Oz Kilic, Nathaniel Bowness
Keep the Ball Rolling: Analyzing Release Cadence in GitHub Projects. 372-376 - Dong Wang, Tao Xiao
Understanding the Role of Images on Stack Overflow. 377-388 - Saikat Mondal, Mohammad Masudur Rahman, Chanchal K. Roy:
Do Subjectivity and Objectivity Always Agreeƒ A Case Study with Stack Overflow Questions. 389-401 - Parvez Mahbub, Ohiduzzaman Shuvo, Mohammad Masudur Rahman:
Defectors: A Large, Diverse Python Dataset for Defect Prediction. 393-397 - Joseph Vargovich, Fabio Santos, Jacob Penney, Marco Aurélio Gerosa, Igor Steinmacher:
GiveMeLabeledIssues: An Open Source Issue Recommendation System. 402-406 - Akhila Sri Manasa Venigalla, Sridhar Chimalakonda:
DocMine: A Software Documentation-Related Dataset of 950 GitHub Repositories. 407-411 - Murali Sridharan, Leevi Rantala, Mika Mäntylä:
PENTACET data - 23 Million Contextual Code Comments and 250,000 SATD comments. 412-416 - Anderson Oliveira
Don't Forget the Exception! : Considering Robustness Changes to Identify Design Problems. 417-429 - Wenhao Ma, Yaoxiang Yu, Xiaoming Ruan, Bo Cai:
Pre-trained Model Based Feature Envy Detection. 430-440 - Tom Mashiach, Bruno Sotto-Mayor
CLEAN++: Code Smells Extraction for C++. 441-445 - Himesh Nandani, Mootez Saad
DACOS - A Manually Annotated Dataset of Code Smells. 446-450 - Gunnar Kudrjavets
What Warnings Do Engineers Really Fix? The Compiler That Cried Wolf. 451-452 - Imam Nur Bani Yusuf, Diyanah Binte Abdul Jamal, Lingxiao Jiang:
Automating Arduino Programming: From Hardware Setups to Sample Source Code Generation. 453-464 - Natarajan Chidambaram
A Dataset of Bot and Human Activities in GitHub. 465-469 - Konstantin Grotov, Sergey Titov, Alexandr Suhinin, Yaroslav Golubev, Timofey Bryksin:
Optimizing Duplicate Size Thresholds in IDEs. 470-471 - Chao Ni, Xiaodan Xu, Kaiwen Yang, David Lo
Boosting Just-in-Time Defect Prediction with Specific Features of C/C++ Programming Languages in Code Changes. 472-484 - Donald Pinckney, Federico Cassano, Arjun Guha
A Large Scale Analysis of Semantic Versioning in NPM. 485-497 - Akira Mori, Masatomo Hashimoto:
Phylogenetic Analysis of Reticulate Software Evolution. 498-510 - Mohayeminul Islam, Ajay Kumar Jha, Sarah Nadi, Ildar Akhmetov:
PyMigBench: A Benchmark for Python Library Migration. 511-515 - Sophia Vargas:
Determining Open Source Project Boundaries. 516-517 - Kanchanok Kannee, Raula Gaikovina Kula, Supatsara Wattanakriengkrai, Kenichi Matsumoto:
Intertwining Communities: Exploring Libraries that Cross Software Ecosystems. 518-522 - Ahmed Zerouali, Ruben Opdebeeck
Helm Charts for Kubernetes Applications: Evolution, Outdatedness and Security Risks. 523-533 - Ruben Opdebeeck
Control and Data Flow in Security Smell Detection for Infrastructure as Code: Is It Worth the Effort? 534-545 - Ali M. Keshk, Robert Dyer:
Method Chaining Redux: An Empirical Study of Method Chaining in Java, Kotlin, and Python. 546-557 - Emily Bui, Henrique Rocha:
Snapshot Testing Dataset. 558-562 - Kevin Jesse, Toufique Ahmed, Premkumar T. Devanbu, Emily Morgan:
Large Language Models and Simple, Stupid Bugs. 563-575 - Feifei Niu
The ABLoTS Approach for Bug Localization: is it replicable and generalizable? 576-587 - Catherine Tony, Markus Mutas, Nicolás E. Díaz Ferreyra, Riccardo Scandariato:
LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations. 588-592 - Mojtaba Shahin, Mansooreh Zahedi
A Study of Gender Discussions in Mobile Apps. 598-610 - Fabio Santos, Jacob Penney, João Felipe Pimentel, Igor Wiese, Igor Steinmacher, Marco Aurélio Gerosa:
Tell Me Who Are You Talking to and I Will Tell You What Issues Need Your Skills. 611-623 - Christoph Treude
She Elicits Requirements and He Tests: Software Engineering Gender Bias in Large Language Models. 624-629 - Yibo Yan, Seth Frey, Amy X. Zhang, Vladimir Filkov, Likang Yin:
GitHub OSS Governance File Dataset. 630-634 - Eman Abdullah AlOmar:
State of Refactoring Adoption: Better Understanding Developer Perception of Refactoring. 635-639
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