default search action
Empirical Software Engineering, Volume 27
Volume 27, Number 1, January 2022
- Adam Przybylek
, Marta Albecka, Olga Springer
Game-based Sprint retrospectives: multiple action research. 1 - Tim Sonnekalb
Deep security analysis of program code. 2 - Hideaki Hata
GitHub Discussions: An exploratory study of early adoption. 3 - Hafizul Asad
Dynamical analysis of diversity in rule-based open source network intrusion detection systems. 4 - Jinfeng Lin, Yalin Liu, Jane Cleland-Huang:
Information retrieval versus deep learning approaches for generating traceability links in bilingual projects. 5 - Victor R. Basili, Lionel C. Briand:
Reflections on the Empirical Software Engineering journal. 6 - Yuan Huang, Xingjian Liang, Zhihao Chen, Nan Jia, Xiapu Luo, Xiangping Chen
Reviewing rounds prediction for code patches. 7 - Laksri Wijerathna
Mining and relating design contexts and design patterns from Stack Overflow. 8 - Alvi Mahadi, Neil A. Ernst
Conclusion stability for natural language based mining of design discussions. 9 - Maurice H. ter Beek
Efficient static analysis and verification of featured transition systems. 10 - Anthony Peruma
How do i refactor this? An empirical study on refactoring trends and topics in Stack Overflow. 11 - Janet Siegmund, Chanchal K. Roy:
Correction to: Preface to the special issue on program comprehension. 12 - Nasir U. Eisty, Jeffrey C. Carver
Developers perception of peer code review in research software development. 13 - Fengcai Wen, Csaba Nagy, Michele Lanza, Gabriele Bavota
Quick remedy commits and their impact on mining software repositories. 14 - Chi Chen, Xin Peng, Bihuan Chen, Jun Sun, Zhenchang Xing, Xin Wang, Wenyun Zhao:
"More Than Deep Learning": post-processing for API sequence recommendation. 15 - Linghui Luo
TaintBench: Automatic real-world malware benchmarking of Android taint analyses. 16 - Nicolas E. Gold
Ethics in the mining of software repositories. 17 - Javier Luis Cánovas Izquierdo
On the analysis of non-coding roles in open source development. 18 - Jiakun Liu, Haoxiang Zhang, Xin Xia
An exploratory study on the repeatedly shared external links on Stack Overflow. 19 - Henrique Marques
Injecting software faults in Python applications. 20 - Peipei Wang
Demystifying regular expression bugs. 21 - Camilo Escobar-Velásquez
Studying eventual connectivity issues in Android apps. 22 - Yi Li, Shaohua Wang
Rap4DQ: Learning to recommend relevant API documentation for developer questions. 23 - Jiayuan Zhou, Shaowei Wang
Studying donations and their expenses in open source projects: a case study of GitHub projects collecting donations through open collectives. 24 - Bowen Li, Xin Peng, Qilin Xiang, Hanzhang Wang, Tao Xie, Jun Sun, Xuanzhe Liu:
Enjoy your observability: an industrial survey of microservice tracing and analysis. 25 - Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
Omni: automated ensemble with unexpected models against adversarial evasion attack. 26 - Roland Croft
An empirical study of developers' discussions about security challenges of different programming languages. 27 - Fiorella Zampetti
Using code reviews to automatically configure static analysis tools. 28
Volume 27, Number 2, March 2022
- Rongqi Pan, Mojtaba Bagherzadeh, Taher Ahmed Ghaleb
Test case selection and prioritization using machine learning: a systematic literature review. 29 - Michael Schröder
An empirical investigation of command-line customization. 30 - Fabiano Pecorelli
Software testing and Android applications: a large-scale empirical study. 31 - Linghuan Hu, W. Eric Wong
CT-IoT: a combinatorial testing-based path selection framework for effective IoT testing. 32 - Stefan Hanenberg
Two N-of-1 self-trials on readability differences between anonymous inner classes (AICs) and lambda expressions (LEs) on Java code snippets. 33 - Ehsan Noei
A study of gender in user reviews on the Google Play Store. 34 - Klaas-Jan Stol
Gamification in software engineering: the mediating role of developer engagement and job satisfaction. 35 - Elizabeth Bjarnason
Inter-team communication in large-scale co-located software engineering: a case study. 36 - Da Xiao, Dengji Hang, Lu Ai, Shengping Li, Hongliang Liang
Path context augmented statement and network for learning programs. 37 - Hussein K. Almulla
Learning how to search: generating effective test cases through adaptive fitness function selection. 38 - Matteo Camilli
Modeling Performance of Microservices Systems with Growth Theory. 39 - Esteban Parra
A comparative study and analysis of developer communications on Slack and Gitter. 40 - Hui Gao
Propagating frugal user feedback through closeness of code dependencies to improve IR-based traceability recovery. 41 - Steffen Herbold
Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection. 42 - Jacek Dabrowski
Analysing app reviews for software engineering: a systematic literature review. 43 - Ruben Heradio
Uniform and scalable sampling of highly configurable systems. 44 - Steffen Herbold
Smoke testing for machine learning: simple tests to discover severe bugs. 45 - Wei Li, Qingan Li, Yunlong Ming, Weijiao Dai, Shi Ying, Mengting Yuan
An empirical study of the effectiveness of IR-based bug localization for large-scale industrial projects. 47 - Yilin Yang, Tianxing He, Yang Feng
Mining Python fix patterns via analyzing fine-grained source code changes. 48 - Hideaki Azuma, Shinsuke Matsumoto
An empirical study on self-admitted technical debt in Dockerfiles. 49 - Maliheh Izadi
Predicting the objective and priority of issue reports in software repositories. 50 - Wesley K. G. Assunção
Analysis of a many-objective optimization approach for identifying microservices from legacy systems. 51 - Sikandar Ali
Practitioner's view of the success factors for software outsourcing partnership formation: an empirical exploration. 52 - Irving Muller Rodrigues
TraceSim: An Alignment Method for Computing Stack Trace Similarity. 53 - John Businge
Reuse and maintenance practices among divergent forks in three software ecosystems. 54 - Aidan Z. H. Yang, Safwat Hassan
An empirical study on release notes patterns of popular apps in the Google Play Store. 55 - Diane E. Strode
A teamwork effectiveness model for agile software development. 56 - Ruben Heradio
Correction to: Uniform and scalable sampling of highly configurable systems. 57 - Jacek Dabrowski
Correction to: Analysing app reviews for software engineering: a systematic literature review. 58
Volume 27, Number 3, May 2022
- Md. Rayhanur Rahman
Why secret detection tools are not enough: It's not just about false positives - An industrial case study. 59 - Suvodeep Majumder
Revisiting process versus product metrics: a large scale analysis. 60 - Lina Ochoa, Thomas Degueule
Breaking bad? Semantic versioning and impact of breaking changes in Maven Central. 61 - Saikat Mondal
The reproducibility of programming-related issues in Stack Overflow questions. 62 - Zishuo Ding
Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks. 63 - Fabiano Pecorelli
On the adequacy of static analysis warnings with respect to code smell prediction. 64 - Michel Maes-Bermejo
Revisiting the building of past snapshots - a replication and reproduction study. 65 - Bahar Gezici
Systematic literature review on software quality for AI-based software. 66 - Robert White
TCTracer: Establishing test-to-code traceability links using dynamic and static techniques. 67 - Christian Kröher, Moritz Flöter, Lea Gerling, Klaus Schmid:
Incremental software product line verification - A performance analysis with dead variable code. 68 - José Pereira dos Reis
Crowdsmelling: A preliminary study on using collective knowledge in code smells detection. 69 - Saso Karakatic
Software system comparison with semantic source code embeddings. 70 - Daniel Russo
From anecdote to evidence: the relationship between personality and need for cognition of developers. 71 - Wardah Mahmood
Effects of variability in models: a family of experiments. 72 - Stefanus A. Haryono
AndroEvolve: automated Android API update with data flow analysis and variable denormalization. 73 - Luca Traini
Exploring Performance Assurance Practices and Challenges in Agile Software Development: An Ethnographic Study. 74 - Oscar Díaz
Visualizing the customization endeavor in product-based-evolving software product lines: a case of action design research. 75 - Fabio Calefato
Will you come back to contribute? Investigating the inactivity of OSS core developers in GitHub. 76 - H. Alperen Çetin
Analyzing developer contributions using artifact traceability graphs. 77 - Eliezio Soares
The effects of continuous integration on software development: a systematic literature review. 78 - Anjana Perera
Search-based fairness testing for regression-based machine learning systems. 79
Volume 27, Number 4, July 2022
- Huy Tu
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning. 80 - Islem Saidani, Ali Ouni
Tracking bad updates in mobile apps: a search-based approach. 81 - Walter Cazzola
Towards a recipe for language decomposition: quality assessment of language product lines. 82 - Haonan Zhang
Studying logging practice in test code. 83 - Hadhemi Jebnoun
Clones in deep learning code: what, where, and why? 84 - Rodrigo André Ferreira Moreira, Wesley K. G. Assunção
Open-source software product line extraction processes: the ArgoUML-SPL and Phaser cases. 85 - Darius Sas
On the evolution and impact of architectural smells - an industrial case study. 86 - Donghwan Shin
PRINS: scalable model inference for component-based system logs. 87 - Rômulo Manciola Meloca, Ingrid Nunes:
A comparative study of application-level caching recommendations at the method level. 88 - Enrico Fregnan
What happens in my code reviews? An investigation on automatically classifying review changes. 89 - Kaifeng Huang, Bihuan Chen, Congying Xu, Ying Wang, Bowen Shi, Xin Peng, Yijian Wu, Yang Liu
Characterizing usages, updates and risks of third-party libraries in Java projects. 90 - Fang Liu
A unified multi-task learning model for AST-level and token-level code completion. 91 - Ankur Tagra, Haoxiang Zhang
Revisiting reopened bugs in open source software systems. 92 - Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan:
SoftNER: Mining knowledge graphs from cloud incidents. 93 - Sebastian Baltes
Sampling in software engineering research: a critical review and guidelines. 94 - Frolin S. Ocariza Jr.
On the Effectiveness of Bisection in Performance Regression Localization. 95 - Carolin E. Brandt
Developer-centric test amplification. 96 - Davide Ginelli
A comprehensive study of code-removal patches in automated program repair. 97 - Birgit Penzenstadler
Take a deep breath: Benefits of neuroplasticity practices for software developers and computer workers in a family of experiments. 98 - Pavlína Wurzel Gonçalves, Enrico Fregnan
Do explicit review strategies improve code review performance? Towards understanding the role of cognitive load. 99
Volume 27, Number 5, September 2022
- Sofia Ananieva
A conceptual model for unifying variability in space and time: Rationale, validation, and illustrative applications. 101 - Joseph Hejderup
Präzi: from package-based to call-based dependency networks. 102 - Emil Alégroth, Kristian Karl, Helena Rosshagen, Tomas Helmfridsson, Nils Olsson:
Practitioners' best practices to Adopt, Use or Abandon Model-based Testing with Graphical models for Software-intensive Systems. 103 - Goran Piskachev
Fluently specifying taint-flow queries with fluentTQL. 104 - Leonardo Fuchs Alves
SeSG: a search string generator for Secondary Studies with hybrid search strategies using text mining. 105 - Olga Springer
A comprehensive overview of software product management challenges. 106 - Ahmed Zerouali
On the impact of security vulnerabilities in the npm and RubyGems dependency networks. 107 - Mairieli Santos Wessel
Quality gatekeepers: investigating the effects of code review bots on pull request activities. 108 - Ifraz Rehman, Dong Wang, Raula Gaikovina Kula
Newcomer OSS-Candidates: Characterizing Contributions of Novice Developers to GitHub. 109 - Thainá Mariani
Generation of refactoring algorithms by grammatical evolution. 110 - Mohammad Masudur Rahman
Works for Me! Cannot Reproduce - A Large Scale Empirical Study of Non-reproducible Bugs. 111 - Gabriela Karoline Michelon
Evolving software system families in space and time with feature revisions. 112 - James Callan
How do Android developers improve non-functional properties of software? 113 - Milos Ojdanic
On the use of commit-relevant mutants. 114 - Mateus Lopes, André C. Hora
How and why we end up with complex methods: a multi-language study. 115 - Mouna Abidi
Multi-language design smells: a backstage perspective. 116 - Gias Uddin
A qualitative study of developers' discussions of their problems and joys during the early COVID-19 months. 117 - Vijay Walunj
Defect prediction using deep learning with Network Portrait Divergence for software evolution. 118 - Juan Manuel Florez
An empirical study of data constraint implementations in Java. 119 - Armstrong Foundjem
A mixed-methods analysis of micro-collaborative coding practices in OpenStack. 120
Volume 27, Number 6, November 2022
- Pernilla Ågren, Eli Knoph, Richard Berntsson-Svensson:
Agile software development one year into the COVID-19 pandemic. 121 - Tianpei Xia, Wei Fu, Rui Shu, Rishabh Agrawal, Tim Menzies
Predicting health indicators for open source projects (using hyperparameter optimization). 122 - Dror G. Feitelson
Considerations and Pitfalls for Reducing Threats to the Validity of Controlled Experiments on Code Comprehension. 123 - Sofien Boutaib
Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection. 124 - Steffen Herbold
A fine-grained data set and analysis of tangling in bug fixing commits. 125 - Xunhui Zhang, Yue Yu
Pull request latency explained: an empirical overview. 126 - Xiaofeng Han, Amjed Tahir, Peng Liang
Code smells detection via modern code review: a study of the OpenStack and Qt communities. 127 - Mehrdad Abdi
Small-Amp: Test amplification in a dynamically typed language. 128 - Karine Even-Mendoza
CsmithEdge: more effective compiler testing by handling undefined behaviour less conservatively. 129 - Biruk Asmare Muse
FIXME: synchronize with database! An empirical study of data access self-admitted technical debt. 130 - Yikun Li
Identifying self-admitted technical debt in issue tracking systems using machine learning. 131 - Ana Belén Sánchez
Mutation testing in the wild: findings from GitHub. 132 - Jackson A. Prado Lima
Cost-effective learning-based strategies for test case prioritization in continuous integration of highly-configurable software. 133 - Jiahuei Lin, Haoxiang Zhang
Upstream bug management in Linux distributions. 134 - Gregorio Robles, Andrea Capiluppi
Development effort estimation in free/open source software from activity in version control systems. 135 - Masanari Kondo
An empirical study of issue-link algorithms: which issue-link algorithms should we use? 136 - Hajra Naeem, Manar H. Alalfi:
Predicting sensitive information leakage in IoT applications using flows-aware machine learning approach. 137 - Nasir U. Eisty, Jeffrey C. Carver
Testing research software: a survey. 138 - Nathan Cassee
Self-Admitted Technical Debt and comments' polarity: an empirical study. 139 - Zhuo Li, Yuechen Wu, Lei Ma, Xiaofei Xie
GBGallery : A benchmark and framework for game testing. 140 - Fitash Ul Haq
Correction to: Can Offline Testing of Deep Neural Networks Replace Their Online Testing? 141 - Jaekwon Lee, Seung Yeob Shin
Optimal priority assignment for real-time systems: a coevolution-based approach. 142 - Sören Henning
A configurable method for benchmarking scalability of cloud-native applications. 143 - Jiahui Wu, Paolo Arcaini
On the preferences of quality indicators for multi-objective search algorithms in search-based software engineering. 144 - Marianna Di Gregorio, Dario Di Nucci
The making of accessible Android applications: an empirical study on the state of the practice. 145 - Yassine Lamine, Jinghui Cheng
Understanding and supporting the design systems practice. 146 - Ratnadira Widyasari
Real world projects, real faults: evaluating spectrum based fault localization techniques on Python projects. 147 - Wenhan Zhu, Haoxiang Zhang
An empirical study of question discussions on Stack Overflow. 148 - Benjamin Loriot, Fernanda Madeiral
Styler: learning formatting conventions to repair Checkstyle violations. 149 - Ferenc Horváth
Using contextual knowledge in interactive fault localization. 150 - Arthur D. Sawadogo
SSPCatcher: Learning to catch security patches. 151 - Jonida Çarka
On effort-aware metrics for defect prediction. 152 - Keyur Patel, João Guilherme Faccin, Abdelwahab Hamou-Lhadj
The sense of logging in the Linux kernel. 153 - Sarah Elder
Do I really need all this work to find vulnerabilities? 154 - Mahmoud A. Bokhari
A Hybrid Distributed EA Approach for Energy Optimisation on Smartphones. 155 - Jirat Pasuksmit
Story points changes in agile iterative development. 156 - Eriks Klotins
Towards cost-benefit evaluation for continuous software engineering activities. 157 - Shaiful Alam Chowdhury
Revisiting the debate: Are code metrics useful for measuring maintenance effort? 158 - Stefan Höppner
Advantages and disadvantages of (dedicated) model transformation languages. 159
Volume 27, Number 7, December 2022
- Davide Basile
Static detection of equivalent mutants in real-time model-based mutation testing. 160 - Alexi Turcotte
Stubbifier: debloating dynamic server-side JavaScript applications. 161 - Tanghaoran Zhang
FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction. 162 - Laerte Xavier
On the documentation of self-admitted technical debt in issues. 163 - Renan Gomes Vieira
The role of bug report evolution in reliable fixing estimation. 164 - Adam Alami
How Scrum adds value to achieving software quality? 165 - Diego Fernandes da Silva, Luiz Fernando Okada, Wesley K. G. Assunção
Intensifying the search-based optimization of product line architectures with crossover operators. 166 - Ahmed Samir Imam Mahmoud
One-off events? An empirical study of hackathon code creation and reuse. 167 - Vlas Zyrianov, Cole S. Peterson, Drew T. Guarnera, Joshua Behler, Praxis Weston, Bonita Sharif
Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks - methodology and analyses. 168 - Aayush Garg
Learning from what we know: How to perform vulnerability prediction using noisy historical data. 169 - Annibale Panichella
Test smells 20 years later: detectability, validity, and reliability. 170 - Zhou Zhou, Lili Bo, Xiaoxue Wu, Xiaobing Sun, Tao Zhang
SPVF: security property assisted vulnerability fixing via attention-based models. 171 - Xiongfei Wu
On the usage and development of deep learning compilers: an empirical study on TVM. 172 - James Dominic
The human experience of comprehending source code in virtual reality. 173 - Oscar Díaz
Developing research questions in conversation with the literature: operationalization & tool support. 174 - Nick C. Bradley
Sources of software development task friction. 175 - Jason Tsay
Extracting enhanced artificial intelligence model metadata from software repositories. 176 - Enrico Fregnan
The evolution of the code during review: an investigation on review changes. 177 - Nemania Borovits, Indika Kumara
FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code. 178 - Dimitri Prestat
An empirical study of Android behavioural code smells detection. 179 - Benjamin Hoffmann
An empirical evaluation of a novel domain-specific language - modelling vehicle routing problems with Athos. 180 - Ethem Utku Aktas
Using Screenshot Attachments in Issue Reports for Triaging. 181 - Steffen Tunkel, Steffen Herbold
Exploring the relationship between performance metrics and cost saving potential of defect prediction models. 182 - Jung-Chieh Lee, Chung-Yang Chen
Motivating members' involvement to effectually conduct collaborative software process tailoring. 183 - Andreina Cota Vidaurre
TestEvoViz: visualizing genetically-based test coverage evolution. 184 - Luigi Lavazza
Comparing ϕ and the F-measure as performance metrics for software-related classifications. 185 - Hongliang Liang
Modeling function-level interactions for file-level bug localization. 186 - Valeria Pontillo
Static test flakiness prediction: How Far Can We Go? 187 - Ivaldir de Farias Júnior
C2M: a maturity model for the evaluation of communication in distributed software development. 188 - Francesco Lomio
A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction. 189 - Marjane Namavar
A controlled experiment of different code representations for learning-based program repair. 190 - Roberto Natella
StateAFL: Greybox fuzzing for stateful network servers. 191 - Pouria Derakhshanfar
Basic block coverage for search-based unit testing and crash reproduction. 192 - Ahmed Haj Yahmed
DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment. 193 - Samuel W. Flint
Pitfalls and guidelines for using time-based Git data. 194 - Daniel Oliveira
Developers' perception matters: machine learning to detect developer-sensitive smells. 195 - Omar Haggag
A large scale analysis of mHealth app user reviews. 196 - Zhaoxuan Li, Siqi Lu
SmartFast: an accurate and robust formal analysis tool for Ethereum smart contracts. 197 - Wei Tao
A large-scale empirical study of commit message generation: models, datasets and evaluation. 198
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-29 01:28 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: