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ORCIDEmpirical Software Engineering, Volume 30
Volume 30, Number 1, February 2025
- Khaled Sellami
, Mohamed Aymen Saied:
Extracting microservices from monolithic systems using deep reinforcement learning. 1 - Michael Dorner, Daniel Méndez, Krzysztof Wnuk, Ehsan Zabardast, Jacek Czerwonka:
The upper bound of information diffusion in code review. 2 - Jaemin Hong, Sukyoung Ryu:
Type-migrating C-to-Rust translation using a large language model. 3 - Umme Ayman Koana, Quang Hy Le, Shaikur Raman, Chris Carlson, Francis Chew, Maleknaz Nayebi:
Correction to: Examining ownership models in software teams. 4 - Chao Tan, Razieh Behjati, Erik Arisholm:
Application of deep learning models to generate rich, dynamic and production-like test data. 5 - Hao Li, Cor-Paul Bezemer:
Bridging the language gap: an empirical study of bindings for open source machine learning libraries across software package ecosystems. 6 - Cristina Improta, Pietro Liguori, Roberto Natella, Bojan Cukic, Domenico Cotroneo:
Enhancing robustness of AI offensive code generators via data augmentation. 7 - Ricardo de Sousa Job, André C. Hora:
How and why developers implement OS-specific tests. 8 - Fiorella Zampetti, Cyrine Zid, Giuliano Antoniol, Massimiliano Di Penta:
The downside of functional constructs: a quantitative and qualitative analysis of their fix-inducing effects. 9 - Sebastián Pizard, Joaquín Lezama, Rodrigo García, Diego Vallespir, Barbara A. Kitchenham:
Using rapid reviews to support software engineering practice: a systematic review and a replication study. 10 - Shishuai Yang, Qinsheng Hou, Shuang Li, Fenghao Xu, Wenrui Diao:
From guidelines to practice: assessing Android app developer compliance with google's security recommendations. 11 - Monoshiz Mahbub Khan, Zhe Yu:
Approaching code search for python as a translation retrieval problem with dual encoders. 12 - Hanying Shao, Zishuo Ding, Weiyi Shang, Jinqiu Yang, Nikolaos Tsantalis:
Towards effectively testing machine translation systems from white-box perspectives. 13 - Yijian Wu, Yuan Chen, Xin Peng, Bin Hu, Xiaochen Wang, Baiqiang Fu, Wenyun Zhao:
CloneRipples: predicting change propagation between code clone instances by graph-based deep learning. 14 - Belinda Schantong, Norbert Siegmund, Janet Siegmund:
Toward a theory on programmer's block inspired by writer's block. 15 - Jonas Eberlein, Daniel Rodríguez, Rachel Harrison:
The effect of data complexity on classifier performance. 16 - Flávia Coelho, Nikolaos Tsantalis, Tiago Massoni, Everton L. G. Alves:
A qualitative study on refactorings induced by code review. 17 - Umm-e-Habiba, Mohammad Kasra Habib, Justus Bogner, Jonas Fritzsch, Stefan Wagner:
How do ML practitioners perceive explainability? an interview study of practices and challenges. 18 - Luca Giamattei, Matteo Biagiola, Roberto Pietrantuono, Stefano Russo, Paolo Tonella:
Reinforcement learning for online testing of autonomous driving systems: a replication and extension study. 19 - Yijun Shen, Xiang Gao, Hailong Sun, Yu Guo:
Understanding vulnerabilities in software supply chains. 20 - Weidong Wang, Dian Li, Yujian Kang, Yang Zhao:
An intelligent java method name recommendation framework via two-phase neural networks. 21 - Daniel Blackwell, Ingolf Becker, David Clark:
Hyperfuzzing: black-box security hypertesting with a grey-box fuzzer. 22 - Mehil B. Shah, Mohammad Masudur Rahman, Foutse Khomh:
Towards enhancing the reproducibility of deep learning bugs: an empirical study. 23 - Lanxin Yang, Bohan Liu, Junyu Jia, Jinwei Xu, Junming Xue, He Zhang, Alberto Bacchelli:
Prioritizing code review requests to improve review efficiency: a simulation study. 24 - Annalí Casanueva Artís, Davide Rossi, Stefano Zacchiroli, Théo Zimmermann:
The impact of the COVID-19 pandemic on women's contribution to public code. 25 - Lev Sorokin, Damir Safin, Shiva Nejati:
Can search-based testing with pareto optimization effectively cover failure-revealing test inputs? 26 - Luana Almeida Martins, Valeria Pontillo, Heitor A. X. Costa, Filomena Ferrucci, Fabio Palomba, Ivan do Carmo Machado:
Test code refactoring unveiled: where and how does it affect test code quality and effectiveness? 27 - Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo:
PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models. 28 - Julian Frattini, Davide Fucci, Richard Torkar, Lloyd Montgomery, Michael Unterkalmsteiner, Jannik Fischbach, Daniel Méndez:
Applying bayesian data analysis for causal inference about requirements quality: a controlled experiment. 29 - James Caddy, Christoph Treude, Markus Wagner, Earl T. Barr:
The role of surprisal in issue trackers. 30 - Taiming Wang, Yuxia Zhang, Lin Jiang, Yi Tang, Guangjie Li, Hui Liu:
Deep learning based identification of inconsistent method names: How far are we? 31 - Zihan Sha, Chao Zhang, Hao Wang, Zeyu Gao, Bolun Zhang, Yang Lan, Hui Shu:
PromeTrans: Bootstrap binary functionality classification with knowledge transferred from pre-trained models. 32 - Emad Fallahzadeh, Peter C. Rigby, Bram Adams:
Contrasting test selection, prioritization, and batch testing at scale. 33 - Alina Mailach, Dominik Gorgosch, Norbert Siegmund, Janet Siegmund:
"Ok Pal, we have to code that now": interaction patterns of programming beginners with a conversational chatbot. 34 - Povilas Godliauskas, Darja Smite:
The well-being of software engineers: a systematic literature review and a theory. 35 - Xunzhu Tang, Haoye Tian, Pingfan Kong, Saad Ezzini, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé:
Correction to: App review driven collaborative bug finding. 36 - Xin Zhou, DongGyun Han, David Lo:
Bridging expert knowledge with deep learning techniques for just-in-time defect prediction. 37 - Xueqi Yang, Mariusz Jakubowski, Li Kang, Haojie Yu, Tim Menzies:
SparseCoder: Advancing source code analysis with sparse attention and learned token pruning. 38 - Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh:
Harnessing pre-trained generalist agents for software engineering tasks. 39 - Elçin Yenisen Yavuz, Dirk Riehle, Ankita Mehrotra:
Why do companies create and how do they succeed with a vendor-led open source foundation. 40
Volume 30, Number 2, March 2025
- Deepika Badampudi, Muhammad Usman, Xingru Chen:
Large scale reuse of microservices using CI/CD and InnerSource practices - a case study. 41 - Dhanushka Jayasuriya, Samuel Ou, Saakshi Hegde, Valerio Terragni, Jens Dietrich, Kelly Blincoe:
An extended study of syntactic breaking changes in the wild. 42 - Anders Sundelin, Javier Gonzalez-Huerta, Richard Torkar, Krzysztof Wnuk:
Governing the commons: code ownership and code-clones in large-scale software development. 43 - Sangwon Hyun, Eunkyoung Jee, Doo-Hwan Bae:
Collaboration failure analysis in cyber-physical system-of-systems using context fuzzy clustering. 44 - Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou:
Explainable automated debugging via large language model-driven scientific debugging. 45 - Shamsa Abid, Xuemeng Cai, Lingxiao Jiang:
Measuring model alignment for code clone detection using causal interpretation. 46 - Norbert Tihanyi, Tamás Bisztray, Mohamed Amine Ferrag, Ridhi Jain, Lucas C. Cordeiro:
How secure is AI-generated code: a large-scale comparison of large language models. 47 - Mahdi Saeedi Nikoo, Sangeeth Kochanthara, Önder Babur, Mark van den Brand:
An empirical study of business process models and model clones on GitHub. 48 - Zihan Sha, Yang Lan, Chao Zhang, Hao Wang, Zeyu Gao, Bolun Zhang, Hui Shu:
OpTrans: enhancing binary code similarity detection with function inlining re-optimization. 49 - Zibin Zheng, Kaiwen Ning, Qingyuan Zhong, Jiachi Chen, Wenqing Chen, Lianghong Guo, Weicheng Wang, Yanlin Wang:
Towards an understanding of large language models in software engineering tasks. 50 - Divya M. Kamath, Bram Adams, Ahmed E. Hassan:
Lightweight dynamic build batching algorithms for continuous integration. 51 - Enrico Fregnan, Fernando Petrulio, Linda Di Geronimo, Alberto Bacchelli:
Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews. 52 - Nicole Davila, Ingrid Nunes, Igor Wiese:
A fine-grained taxonomy of code review feedback in TypeScript projects. 53 - Nathan Cassee, Neil A. Ernst, Nicole Novielli, Alexander Serebrenik:
Negativity in self-admitted technical debt: how sentiment influences prioritization. 54 - Samuel W. Flint, Ali M. Keshk, Robert Dyer, Hamid Bagheri:
How do developers use type inference: an exploratory study in Kotlin. 55 - Youmei Fan, Dong Wang, Supatsara Wattanakriengkrai, Hathaichanok Damrongsiri, Christoph Treude, Hideaki Hata, Raula Gaikovina Kula:
Developer reactions to protestware in open source software: the cases of color.js and es5.ext. 56 - Adem Ait, Javier Luis Cánovas Izquierdo, Jordi Cabot:
On the suitability of hugging face hub for empirical studies. 57 - Yue Zhang, Justin Murphy, Akond Rahman:
Come for syntax, stay for speed, write secure code: an empirical study of security weaknesses in Julia programs. 58 - Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Shangguang Wang:
Unveiling overlooked performance variance in serverless computing. 59 - Kechi Zhang, Jia Li, Zhuo Li, Zhi Jin, Ge Li:
Transformer-based code model with compressed hierarchy representation. 60
Volume 30, Number 3, June 2025
- Amir Mohammad Ebrahimi, Bram Adams, Gustavo Ansaldi Oliva, Ahmed E. Hassan:
UPC sentinel: An accurate approach for detecting upgradeability proxy contracts in Ethereum. 61 - Jiahui Yang, Xiangfu Zhao, Hanfeng Zhang, Long He, Shiji Wang, Naixiang Gou:
CSAFuzzer: Fuzzing smart contracts combining with static analysis. 62 - Zhi-Yi Zhang, Yichun Wang, Yongming Yao, Ziyuan Wang, Zhiqiu Huang:
A fine-grained evaluation of mutation operators to boost mutation testing for deep learning systems. 63 - Ismail Sergen Göçmen, Ahmed Salih Cezayir, Eray Tüzün:
Enhanced code reviews using pull request based change impact analysis. 64 - Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol:
Bugs in large language models generated code: an empirical study. 65 - Patric Genfer, Souhaila Serbout, Georg Simhandl, Uwe Zdun, Cesare Pautasso:
Understanding security tactics in microservice APIs using annotated software architecture decomposition models - a controlled experiment. 66 - Aishwarya Seth, Saikath Bhattacharya, Sarah Elder, Nusrat Zahan, Laurie A. Williams:
Comparing effectiveness and efficiency of Interactive Application Security Testing (IAST) and Runtime Application Self-Protection (RASP) tools in a large java-based system. 67 - Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
Boosting source code learning with text-oriented data augmentation: an empirical study. 68 - Sushant Kumar Pandey, Sivajeet Chand, Jennifer Horkoff, Miroslaw Staron, Miroslaw Ochodek, Darko Durisic:
Design pattern recognition: a study of large language models. 69 - Sharif Ahmed, Nasir U. Eisty:
Hold on! is my feedback useful? evaluating the usefulness of code review comments. 70 - Camila A. Paiva, Raquel Maximino, Frederico Paiva, Rafael Accetta Vieira, Nicole Espanha, João Felipe Pimentel, Igor Wiese, Marco Aurélio Gerosa, Igor Steinmacher, Leonardo Murta, Vanessa Braganholo:
Analyzing the adoption of database management systems throughout the history of open source projects. 71 - Shabnam Hassani, Mehrdad Sabetzadeh, Daniel Amyot:
An empirical study on LLM-based classification of requirements-related provisions in food-safety regulations. 72 - Mathieu Nassif, Martin P. Robillard:
Evaluating interactive documentation for programmers. 73 - Alexandre Verdet, Mohammad Hamdaqa, Léuson M. P. da Silva, Foutse Khomh:
Assessing the adoption of security policies by developers in terraform across different cloud providers. 74 - Salomé Perez-Rosero, Robert Dyer, Samuel W. Flint, Shane McIntosh, Witawas Srisa-an:
WIA-SZZ: Work item aware SZZ. 75 - Rongcun Wang, Xingyu Ji, Yuan Tian, Senlei Xu, Xiaobing Sun, Shujuan Jiang:
Fixer-level supervised contrastive learning for bug assignment. 76 - Ahmed Fawzy, Amjed Tahir, Matthias Galster, Peng Liang:
Exploring data management challenges and solutions in agile software development: a literature review and practitioner survey. 77 - Adekunle Akinjobi Ajibode, Abdul Ali Bangash, Filipe R. Cogo, Bram Adams, Ahmed E. Hassan:
Towards semantic versioning of open pre-trained language model releases on hugging face. 78 - Anastasiia Tkalich, Eriks Klotins, Tor Sporsem, Viktoria Stray, Nils Brede Moe, Astri Barbala:
User feedback in continuous software engineering: revealing the state-of-practice. 79 - Johan Linåker, Björn Lundell, Francisco Servant, Jonas Gamalielsson, Sachiko Muto, Gregorio Robles:
Public sector open source software projects - How is development organized? 80 - Nasir U. Eisty, Upulee Kanewala, Jeffrey C. Carver:
Testing research software: an in-depth survey of practices, methods, and tools. 81 - Kezia Devathasan, Nowshin Nawar Arony, Emerson R. Murphy-Hill, Daniela E. Damian:
Empathy, self-determination and motivation: moderating diversity for enhanced performance in software development teams. 82 - Taiming Wang, Yuxia Zhang, Lin Jiang, Yi Tang, Guangjie Li, Hui Liu:
Correction to: Deep learning based identification of inconsistent method names: how Far are we? 83 - Giovanni Rosa, Simone Scalabrino, Stefano Mastrostefano, Rocco Oliveto:
Why and how developers maintain smart contracts. 84 - Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé:
Enriching automatic test case generation by extracting relevant test inputs from bug reports. 85 - Yang Zhang, Chunhui Zhang, Kun Zheng, Grant Meredith:
DeepCSS: severity classification for code smell based on deep learning. 86 - Jia Li, Zheng Fang, Xianjie Shi, Zhi Jin, Fang Liu, Jia Li, Yunfei Zhao, Ge Li:
SCodeSearcher: soft contrastive learning for code search. 87 - Yixuan Tang, Junwei Zeng, Jingxuan Zhang, Weiwei Li, Zhiqiu Huang:
CTDip: a diversity-guided test program synthesis approach for boosting compiler bug detection. 88 - Hamid Mohayeji, Andrei Agaronian, Eleni Constantinou, Nicola Zannone, Alexander Serebrenik:
Securing dependencies: A comprehensive study of Dependabot's impact on vulnerability mitigation. 89 - Lili Wei, Heqing Huang, Shing-Chi Cheung, Kevin Li:
How far are app secrets from being stolen? a case study on android. 90 - Francesco Sovrano, Emmie Hine, Stefano Anzolut, Alberto Bacchelli:
Simplifying software compliance: AI technologies in drafting technical documentation for the AI Act. 91 - Lanxin Yang, He Zhang, Jinwei Xu, Jun Lyu, Xin Zhou, Dong Shao, Shan Gao, Alberto Bacchelli:
Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews. 92 - Aurora Papotti, Katja Tuma, Fabio Massacci:
On the effects of program slicing for vulnerability detection during code inspection. 93 - Sven Peldszus, Davide Brugali, Daniel Strüber, Patrizio Pelliccione, Thorsten Berger:
Software reconfiguration in robotics. 94 - Sadaf Azimi, Ali Golzari, Naghmeh Ivaki, Nuno Laranjeiro:
A systematic review on smart contracts security design patterns. 95 - Haya Samaana, Diego Elias Costa, Ahmad Abdellatif, Emad Shihab:
Opportunities and security risks of technical leverage: A replication study on the NPM ecosystem. 96 - Patrick Loic Foalem, Leuson Da Silva, Foutse Khomh, Heng Li, Ettore Merlo:
Logging requirement for continuous auditing of responsible machine learning-based applications. 97 - Mojtaba Mostafavi Ghahfarokhi, Alireza Asadi, Arash Asgari, Bardia Mohammadi, Abbas Heydarnoori:
Predicting the understandability of computational notebooks through code metrics analysis. 98 - Md. Ahasanuzzaman, Gustavo Ansaldi Oliva, Ahmed E. Hassan:
Predicting long time contributors with knowledge units of programming languages: an empirical study. 99 - Eñaut Mendiluze Usandizaga, Shaukat Ali, Tao Yue, Paolo Arcaini:
Quantum circuit mutants: Empirical analysis and recommendations. 100 - Amirali Sajadi, Binh Le, Anh Nguyen, Kostadin Damevski, Preetha Chatterjee:
Do LLMs consider security? an empirical study on responses to programming questions. 101 - Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan:
Navigating fairness: practitioners' understanding, challenges, and strategies in AI/ML development. 102 - Bihui Jin, Heng Li, Ying Zou:
Impact of extensions on browser performance: An empirical study on google chrome. 103
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