| 2025 | "Let it be Chaos in the Plumbing!" Usage and Efficacy of Chaos Engineering in DevOps Pipelines. Stefano Fossati, Damian Andrew Tamburri, Massimiliano Di Penta, Marco Tonnarelli |
| 2025 | A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat. Zezhou Yang, Ting Peng, Cuiyun Gao, Chaozheng Wang, Hailiang Huang, Yuetang Deng |
| 2025 | A Jump-Table-Agnostic Switch Recovery on ASTs. Steffen Enders, Eva-Maria C. Behner, Elmar Padilla |
| 2025 | A Preliminary Study on Large Language Models Self-Negotiation in Software Engineering. Chunrun Tao, Honglin Shu, Masanari Kondo, Yasutaka Kamei |
| 2025 | A Taxonomy of Inefficiencies in LLM-Generated Python Code. Altaf Allah Abbassi, Léuson M. P. da Silva, Amin Nikanjam, Foutse Khomh |
| 2025 | ADPP: Automated Data-Centric Program Partitioning. Xuming Jin, Hao Han |
| 2025 | AI Mentor System: Building a Technical Debt Dashboard for Low Code. Alexandre Lemos, Joana Coutinho |
| 2025 | AI-Powered Commit Explorer (APCE). Yousab Grees, Polina Iaremchuk, Ramtin Ehsani, Esteban Parra, Preetha Chatterjee, Sonia Haiduc |
| 2025 | APIDocBooster: An Extract-Then-Abstract Framework for Augmenting API Documentation. Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo |
| 2025 | AST-Enhanced or AST-Overloaded? The Surprising Impact of Hybrid Graph Representations on Code Clone Detection. Zixian Zhang, Takfarinas Saber |
| 2025 | Adoption and Evolution of Code Style and Best Programming Practices in Open-Source Projects. Alvari Kupari, Nasser Giacaman, Valerio Terragni |
| 2025 | An Efficient Android App Debloating Approach Based on Multi-Layer Dependence Graph. Hengqin Yang, Jiwei Yan, Jun Yan, Bin Liang, Jian Zhang |
| 2025 | Are All Code Reviews the Same? Identifying and Assessing the Impact of Merge Request Deviations. Samah Kansab, Francis Bordeleau, Ali Tizghadam |
| 2025 | Are Classical Clone Detectors Good Enough for the AI Era? Ajmain Inqiad Alam, Palash Ranjan Roy, Farouq Al-Omari, Chanchal K. Roy, Banani Roy, Kevin A. Schneider |
| 2025 | AskGraph: A Dependency-Aware Code Assistant Powered by Code Graphs and LLM-Generated Cypher Queries. Nan Yang, Joseph Reynolds, Laurens Prast, Rosilde Corvino |
| 2025 | Automated Code Review Using Large Language Models at Ericsson: An Experience Report. Shweta Ramesh, Joy Bose, Hamender Singh, A K. Raghavan, Sujoy Roy Chowdhury, Giriprasad Sridhara, Nishrith Saini, Ricardo Britto |
| 2025 | Automated Recovery of Software Product Lines from Legacy Configurable Codebases. Tewfik Ziadi, Karim Ghallab, Zaak Chalal |
| 2025 | Automatically Augmenting GitHub Issues with Informative User Reviews. Arthur Pilone, Marco Raglianti, Michele Lanza, Fabio Kon, Paulo Meirelles |
| 2025 | Boosting Log Observability in Production Systems Through Bytecode-Driven Fault Variable Tracking. Taizheng Wang, Yutong Wang, Wei Chang, Chunyang Ye, Hui Zhou |
| 2025 | Boosting Redundancy-Based Automated Program Repair by Fine-Grained Pattern Mining. Jiajun Jiang, Fengjie Li, Zijie Zhao, Zhirui Ye, Mengjiao Liu, Bo Wang, Hongyu Zhang, Junjie Chen |
| 2025 | Bridging Solidity Evolution Gaps: An LLM-Enhanced Approach for Smart Contract Compilation Error Resolution. Likai Ye, Mengliang Li, Dehai Zhao, Jiamou Sun, Xiaoxue Ren |
| 2025 | Bugs in AI-Generated Code - Understanding Bug Patterns and Possible Fix Strategies. Ruofan Gao |
| 2025 | COB2PY - A Non-AI, Rule-Based COBOL to Python Translator. Kowshik Reddy Challa, Sonith M. V, Chiranjeevi B. S, Sridhar Chimalakonda |
| 2025 | Can LLMs Write CI? a Study on Automatic Generation of GitHub Actions Configurations. Taher A. Ghaleb, Dulina Rathnayake |
| 2025 | Can Llms Update Api Documentation? Seonah Lee, Jueun Heo, Katherine R. Dearstyne |
| 2025 | Characterizing the System Evolution That is Proposed After a Software Incident. Matt Pope, Jonathan Sillito |
| 2025 | Client-Library Compatibility Testing with API Interaction Snapshots. Gustave Monce, Thomas Degueule, Jean-Rémy Falleri, Romain Robbes |
| 2025 | Code Property Graph Meets Typestate: A Scalable Framework to Behavioral Bug Detection. Xingjing Deng, Zhengyao Liu, Xitong Zhong, Shuo Hong, Yixin Yang, Xiang Gao, Xuhui Yan, Hailong Sun |
| 2025 | Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian. Wannita Takerngsaksiri, Chakkrit Tantithamthavorn, Michael Fu, Jirat Pasuksmit, Kun Chen, Ming Wu |
| 2025 | CodeWatcher: IDE Telemetry Data Extraction Tool for Understanding Coding Interactions with LLMs. Manaal Basha, Aimeê M. Ribeiro, Jeena Javahar, Cleidson R. B. de Souza, Gema Rodríguez-Pérez |
| 2025 | Combining Insights from Multiple Tools to Manage Technical Debt in Industrial C# Projects. Simeon Tverdal, Phu Hong Nguyen, Arda Goknil, Antonio Martini, Merve Astekin, Mili Orucevic, Maren Maritsdatter Kruke, Håvard Stranden |
| 2025 | Constraint Discovery for Structured Generation via LLM-Guided SMT Inference. Hrishikesh Karmarkar, Supriya Agrawal, Siddhesh Pagar, Vaibhavi Joshi, Sagar Verma, Naman Paul |
| 2025 | DENIM: Exploring Data Access in Microservices. Maxime André, Marco Raglianti, Anthony Cleve, Michele Lanza |
| 2025 | Detecting Adversarial Prompted AI-Generated Code on Stack Overflow: A Benchmark Dataset and an Enhanced Detection Approach. Aman Swaraj, Krishna Agarwal, Atharv Joshi, Sandeep Kumar |
| 2025 | DevSecLogs: AI-Powered, Tamper-Evident Log Intelligence for Secure CI/CD Pipelines. Sabbir M. Saleh |
| 2025 | Does Editing Improve Answer Quality on Stack Overflow? A Data-Driven Investigation. Saikat Mondal, Chanchal K. Roy |
| 2025 | Efficient Detection of Intermittent Job Failures Using Few-Shot Learning. Henri Aïdasso, Francis Bordeleau, Ali Tizghadam |
| 2025 | Enhanced Vulnerability Localization: Harmonizing Task-Specific Tuning and General LLM Prompting. Wentong Tian, Yuanzhang Lin, Xiang Gao, Hailong Sun |
| 2025 | Enhancing Infrastructure Maintenance and Evolution Through Graph-Based Visualization and Analysis. Stefano Fossati |
| 2025 | Ensuring Code Integrity in the Era of AI-Assisted Software Development. Arthur Pilone |
| 2025 | Evaluating the Maintainability of Forward-Porting Vulnerabilities in Fuzzer Benchmarks. Timothée Riom, Sabine Houy, Bruno Kreyssig, Alexandre Bartel |
| 2025 | Evaluation of the Language Server Protocol for Static Dependency Analysis. Falko Galperin, Michel Krause, Rainer Koschke |
| 2025 | Explicit Vulnerability Generation with LLMs: An Investigation Beyond Adversarial Attacks. Ahmet Emir Bosnak, Sahand Moslemi, Mayasah Lami, Anil Koyuncu |
| 2025 | From First Use to Final Commit: Studying the Evolution of Multi-CI Service Adoption. Nitika Chopra, Taher A. Ghaleb |
| 2025 | From Release to Adoption: Challenges in Reusing Pre-Trained Ai Models for Downstream Developers. Peerachai Banyongrakkul, Mansooreh Zahedi, Patanamon Thongtanunam, Christoph Treude, Haoyu Gao |
| 2025 | Governance Matters: Lessons From Restructuring the Data.Table OSS Project. Pedro Oliveira, Doris Amoakohene, Toby Hocking, Marco Aurélio Gerosa, Igor Steinmacher |
| 2025 | Harnessing LLMs for Document-Guided Fuzzing of OpenCV Library. Bin Duan, Tarek Mahmud, Meiru Che, Yan Yan, Naipeng Dong, Dan Dongseong Kim, Guowei Yang |
| 2025 | How Does Test Code Differ from Production Code in Terms of Refactoring? An Empirical Study. Kosei Horikawa, Yutaro Kashiwa, Bin Lin, Kenji Fujiwara, Hajimu Iida |
| 2025 | How Much Can a Behavior-Preserving Changeset Be Decomposed Into Refactoring Operations? Kota Someya, Lei Chen, Michael J. Decker, Shinpei Hayashi |
| 2025 | HybridRCA: Lightweight Critical-Path-Aware Hybrid Tracing for Root-Cause Analysis in Production Microservices. Maryam Ekhlasi, Arnaud Fiorini, Michel R. Dagenais, Naser Ezzati-Jivan, Maxime Lamothe |
| 2025 | IEEE International Conference on Software Maintenance and Evolution, ICSME 2025, Auckland, New Zealand, September 7-12, 2025 |
| 2025 | Improving Merge Pipeline Throughput in Continuous Integration via Pull Request Prioritization. Maximilian Jungwirth, Martin Gruber, Gordon Fraser |
| 2025 | Inferring Attributed Grammars from Parser Implementations. Andreas Pointner, Josef Pichler, Herbert Prähofer |
| 2025 | Integrating Rules and Semantics for LLM-Based C-to-Rust Translation. Feng Luo, Kexing Ji, Cuiyun Gao, Shuzheng Gao, Jia Feng, Kui Liu, Xin Xia, Michael R. Lyu |
| 2025 | Is Quantization a Deal-Breaker? Empirical Insights From Large Code Models. Saima Afrin, Bowen Xu, Antonio Mastropaolo |
| 2025 | JDala - A Simple Capability System for Java. Quinten Smit, Jens Dietrich, Michael Homer, Andrew Fawcet, James Noble |
| 2025 | LLM-SZZ: Novel Vulnerability-Inducing Commit Identification Driven by Large Language Model and CVE Description. Siqi Fan, Xin Liu, Yingli Zhang, Yuan Tan, Luxing Yin, Zhaorun Chen, Song Li, Lei Qiao, Rui Zhou |
| 2025 | LLMLOOP: Improving LLM-Generated Code and Tests Through Automated Iterative Feedback Loops. Ravin Ravi, Dylan Bradshaw, Stefano Ruberto, Gunel Jahangirova, Valerio Terragni |
| 2025 | LLMShot: Reducing Snapshot Testing Maintenance via LLMs. Ergün Batuhan Kaynak, Mayasah Lami, Sahand Moslemi, Anil Koyuncu |
| 2025 | LadyBug: A GitHub Bot for UI-Enhanced Bug Localization in Mobile Apps. Junayed Mahmud, James Chen, Terry Achille, Camilo Alvarez-Velez, Darren Dean Bansil, Patrick Ijieh, Samar Karanch, Nadeeshan De Silva, Oscar Chaparro, Andrian Marcus, Kevin Moran |
| 2025 | Leakagedetector 2.0: Analyzing Data Leakage in Jupyter-Driven Machine Learning Pipelines. Owen Truong, Terrence Zhang, Arnav Marchareddy, Ryan Lee, Jeffery Busold, Michael Socas, Eman Abdullah AlOmar |
| 2025 | Levels of Binary Equivalence for the Comparison of Binaries from Alternative Builds. Jens Dietrich, Tim White, Behnaz Hassanshahi, Paddy Krishnan |
| 2025 | MaRCo: Compatible Version Ranges in Maven. Cathrine Paulsen, Sebastian Proksch |
| 2025 | MalLoc: Toward Fine-Grained Android Malicious Payload Localization via LLMs. Tiezhu Sun, Marco Alecci, Aleksandr Pilgun, Yewei Song, Xunzhu Tang, Jordan Samhi, Tegawendé F. Bissyandé, Jacques Klein |
| 2025 | MediumDarwin: LittleDarwin Grows with Performance and Research-Oriented Extensions. Sajjad Hesamipour, Thomas Laurent, Anthony Ventresque |
| 2025 | Metamorphic Testing of Large Language Models for Natural Language Processing. Steven Cho, Stefano Ruberto, Valerio Terragni |
| 2025 | Monitoring Continuous Integration Practices in Industry: A Case Study. Jadson Santos, Daniel Alencar da Costa, Uirá Kulesza |
| 2025 | Nüwa: Enhancing MLIR Fuzzing with LLM-Driven Generation and Adaptive Mutation. Bocan Cao, Weiyuan Tong, Zhanyong Tang, Zixu Wang, Hao Huang, Yuheng Yan |
| 2025 | Onweer: Automated Resilience Testing Through Fuzzing. Gilles Coremans, Coen De Roover |
| 2025 | OptionFuzz: Fuzzing SMT Solvers with Optimized Option Exploration via Large Language Models. Yuhao Peng, Jingzheng Wu, Xiang Ling, Zhiyuan Li, Tianyue Luo, Yanjun Wu |
| 2025 | Performance Testing in Open-Source Web Projects: Adoption, Maintenance, and a Change Taxonomy. Sergio Di Meglio, Luigi Libero Lucio Starace, Valeria Pontillo, Ruben Opdebeeck, Coen De Roover, Sergio Di Martino |
| 2025 | Prioritizing Test Smells: An Empirical Evaluation of Quality Metrics and Developer Perceptions. Md Arif Hasan, Toukir Ahammed |
| 2025 | Prompting Matters: Assessing the Effect of Prompting Techniques on LLM-Generated Class Code. Adam Yuen, John Pangas, Md Mainul Hasan Polash, Ahmad Abdellatif |
| 2025 | RMGenie: An LLM-Based Agent Framework for Open Source Software README Generation. Xing Cui, Jingzheng Wu, Zhiyuan Li, Tianyue Luo, Xiang Ling |
| 2025 | ROSEAU: Fast, Accurate, Source-Based API Breaking Change Analysis in Java. Corentin Latappy, Thomas Degueule, Jean-Rémy Falleri, Romain Robbes, Lina Ochoa |
| 2025 | Refactoring Deep Learning Code: a Study of Practices and Unsatisfied Tool Needs. Siqi Wang, Xing Hu, Bei Wang, WenXin Yao, Xin Xia, Xinyu Wang |
| 2025 | Repairing Responsive Layout Failures Using Retrieval Augmented Generation. Tasmia Zerin, Moumita Asad, B. M. Mainul Hossain, Kazi Sakib |
| 2025 | Requirements Ambiguity Detection and Explanation with LLMS: An Industrial Study. Sarmad Bashir, Alessio Ferrari, Abbas Khan, Per Erik Strandberg, Zulqarnain Haider, Mehrdad Saadatmand, Markus Bohlin |
| 2025 | Rethinking Cognitive Complexity for Unit Tests: Toward a Readability-Aware Metric Grounded in Developer Perception. Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé |
| 2025 | Retrieve, Refine, or Both? Using Task-Specific Guidelines for Secure Python Code Generation. Catherine Tony, Emanuele Iannone, Riccardo Scandariato |
| 2025 | SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection. Lei Yu, Shiqi Cheng, Zhirong Huang, Jingyuan Zhang, Chenjie Shen, Junyi Lu, Li Yang, Fengjun Zhang, Jiajia Ma |
| 2025 | Security Vulnerabilities in Docker Images: A Cross-Tag Study of Application Dependencies. Hamid Mohayeji, Eleni Constantinou, Alexander Serebrenik |
| 2025 | Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News. Prachnachai Meakpaiboonwattana, Warittha Tarntong, Thai Mekratanavorakul, Chaiyong Ragkhitwetsagul, Pattaraporn Sangaroonsilp, Raula Gaikovina Kula, Morakot Choetkiertikul, Kenichi Matsumoto, Thanwadee Sunetnanta |
| 2025 | Software Fairness Testing in Practice. Ronnie de Souza Santos, Matheus de Morais Leça, Reydne Santos, Cleyton V. C. de Magalhães |
| 2025 | Syntest-ACR: Automated Crash Reproduction for Javascript. Philip Oliver, Jens Dietrich, Craig Anslow, Michael Homer |
| 2025 | TSGuard: Detecting Logic Bugs in Time Series Management Systems Via Time Series Algebra. Lingwei Kuang, Liang Liu, Wenjing Wang, Ning Cao, Shijie Li, Fan Liu, Haolong Chen, WenJian Liao |
| 2025 | Targeted Test Selection Approach in Continuous Integration. Pavel Plyusnin, Aleksey Antonov, Vasilii Ermakov, Aleksandr Khaybriev, Margarita Kikot, Ilseyar Alimova, Stanislav Moiseev |
| 2025 | Testing is Not Boring: Characterizing Challenge in Software Testing Tasks. Davi Gama Hardman, César França, Brody Stuart-Verner, Ronnie de Souza Santos |
| 2025 | The Impact of Fine-Tuning Large Language Models on Automated Program Repair. Roman Machácek, Anastasiia Grishina, Max Hort, Leon Moonen |
| 2025 | The Impact of Generative AI on Developer Practices, Behavior, and Software Quality. Julian Oertel, Regina Hebig |
| 2025 | The Influence of Code Smell Interactions on Software Maintainability. Zushuai Zhang |
| 2025 | Together We are Better: LLM, IDE and Semantic Embedding to Assist Move Method Refactoring. Abhiram Bellur, Fraol Batole, Mohammed Raihan Ullah, Malinda Dilhara, Yaroslav Zharov, Timofey Bryksin, Kai Ishikawa, Haifeng Chen, Masaharu Morimoto, Takeo Hosomi, Tien N. Nguyen, Hridesh Rajan, Nikolaos Tsantalis, Danny Dig |
| 2025 | Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction. Duong Nguyen, Thanh Le-Cong, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh |
| 2025 | Toward a Resilience-Oriented Understanding of Unit Test Suites and Refactoring in Software Evolution. Daniel Knight, Tanmay Bhowmik |
| 2025 | Towards Interaction-Aware Validation Oracles for Multi-Fault Program Repair. Omar I. Al-Bataineh |
| 2025 | Towards Just-In-Time, Inclusive Clone Refactoring. Palash Roy |
| 2025 | Towards Proficiency Assessment Through Code. Ruksit Rojpaisarnkit, Kenichi Matsumoto |
| 2025 | Trust and Verify: Formally Verified and Upgradable Trusted Functions. Marcus Birgersson, Cyrille Artho, Musard Balliu |
| 2025 | Understanding Practitioners' Perspectives on Monitoring Machine Learning Systems. Hira Naveed, John C. Grundy, Chetan Arora, Hourieh Khalajzadeh, Omar Haggag |
| 2025 | Understanding and Simulating OSS Evolution: A Case Study on PyMC. Toru Sugiyama |
| 2025 | Understanding the Faults in Serverless Computing Based Applications: An Empirical Study. Changrong Xie, Yang Zhang, Xinjun Mao, Kang Yang, Tanghaoran Zhang |
| 2025 | VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models. Duong Nguyen, Manh Tran-Duc, Thanh Le-Cong, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh |
| 2025 | XTestGen: Natural Language to Maintainable E2E Test Scripts with LLMs. Hiroyuki Kirinuki, Masaki Tajima, Kei Wakabayashi |