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Empirical 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
The upper bound of information diffusion in code review. 2 - Jaemin Hong
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
Application of deep learning models to generate rich, dynamic and production-like test data. 5 - Hao Li
Bridging the language gap: an empirical study of bindings for open source machine learning libraries across software package ecosystems. 6 - Cristina Improta
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
The downside of functional constructs: a quantitative and qualitative analysis of their fix-inducing effects. 9 - Sebastián Pizard, Joaquín Lezama, Rodrigo García, Diego Vallespir
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
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
CloneRipples: predicting change propagation between code clone instances by graph-based deep learning. 14 - Belinda Schantong
Toward a theory on programmer's block inspired by writer's block. 15 - Jonas Eberlein, Daniel Rodríguez
The effect of data complexity on classifier performance. 16 - Flávia Coelho
A qualitative study on refactorings induced by code review. 17 - Umm-e-Habiba
How do ML practitioners perceive explainability? an interview study of practices and challenges. 18 - Luca Giamattei
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
An intelligent java method name recommendation framework via two-phase neural networks. 21 - Daniel Blackwell
Hyperfuzzing: black-box security hypertesting with a grey-box fuzzer. 22 - Mehil B. Shah
Towards enhancing the reproducibility of deep learning bugs: an empirical study. 23 - Lanxin Yang
Prioritizing code review requests to improve review efficiency: a simulation study. 24 - Annalí Casanueva Artís, Davide Rossi
The impact of the COVID-19 pandemic on women's contribution to public code. 25 - Lev Sorokin
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
Applying bayesian data analysis for causal inference about requirements quality: a controlled experiment. 29 - James Caddy
The role of surprisal in issue trackers. 30 - Taiming Wang
Deep learning based identification of inconsistent method names: How far are we? 31 - Zihan Sha
PromeTrans: Bootstrap binary functionality classification with knowledge transferred from pre-trained models. 32 - Emad Fallahzadeh
Contrasting test selection, prioritization, and batch testing at scale. 33 - Alina Mailach
"Ok Pal, we have to code that now": interaction patterns of programming beginners with a conversational chatbot. 34 - Povilas Godliauskas
The well-being of software engineers: a systematic literature review and a theory. 35 - Xunzhu Tang, Haoye Tian
Correction to: App review driven collaborative bug finding. 36 - Xin Zhou
Bridging expert knowledge with deep learning techniques for just-in-time defect prediction. 37 - Xueqi Yang
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
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
Large scale reuse of microservices using CI/CD and InnerSource practices - a case study. 41 - Dhanushka Jayasuriya
An extended study of syntactic breaking changes in the wild. 42 - Anders Sundelin
Governing the commons: code ownership and code-clones in large-scale software development. 43 - Sangwon Hyun
Collaboration failure analysis in cyber-physical system-of-systems using context fuzzy clustering. 44 - Sungmin Kang
Explainable automated debugging via large language model-driven scientific debugging. 45 - Shamsa Abid
Measuring model alignment for code clone detection using causal interpretation. 46 - Norbert Tihanyi
How secure is AI-generated code: a large-scale comparison of large language models. 47 - Mahdi Saeedi Nikoo
An empirical study of business process models and model clones on GitHub. 48 - Zihan Sha
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
A fine-grained taxonomy of code review feedback in TypeScript projects. 53 - Nathan Cassee
Negativity in self-admitted technical debt: how sentiment influences prioritization. 54 - Samuel W. Flint
How do developers use type inference: an exploratory study in Kotlin. 55 - Youmei Fan
Developer reactions to protestware in open source software: the cases of color.js and es5.ext. 56 - Adem Ait
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
Unveiling overlooked performance variance in serverless computing. 59 - Kechi Zhang
Transformer-based code model with compressed hierarchy representation. 60
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