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ORCID41st ICSME 2025: Auckland, New Zealand
- IEEE International Conference on Software Maintenance and Evolution, ICSME 2025, Auckland, New Zealand, September 7-12, 2025. IEEE 2025, ISBN 979-8-3315-9587-6
- Siqi Wang, Xing Hu, Bei Wang, WenXin Yao, Xin Xia, Xinyu Wang:
Refactoring Deep Learning Code: a Study of Practices and Unsatisfied Tool Needs. 1-12 - Pedro Oliveira, Doris Amoakohene, Toby Hocking, Marco Aurélio Gerosa, Igor Steinmacher:
Governance Matters: Lessons From Restructuring the Data.Table OSS Project. 1-12 - Lingwei Kuang, Liang Liu, Wenjing Wang, Ning Cao, Shijie Li, Fan Liu, Haolong Chen, WenJian Liao:
TSGuard: Detecting Logic Bugs in Time Series Management Systems Via Time Series Algebra. 1-13 - Pavel Plyusnin, Aleksey Antonov, Vasilii Ermakov, Aleksandr Khaybriev, Margarita Kikot, Ilseyar Alimova, Stanislav Moiseev:
Targeted Test Selection Approach in Continuous Integration. 1-12 - Peerachai Banyongrakkul, Mansooreh Zahedi, Patanamon Thongtanunam, Christoph Treude, Haoyu Gao:
From Release to Adoption: Challenges in Reusing Pre-Trained Ai Models for Downstream Developers. 1-13 - 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:
Together We are Better: LLM, IDE and Semantic Embedding to Assist Move Method Refactoring. 1-13 - Duong Nguyen
, Thanh Le-Cong, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh:
Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction. 1-10 - Xingjing Deng, Zhengyao Liu, Xitong Zhong, Shuo Hong, Yixin Yang, Xiang Gao, Xuhui Yan, Hailong Sun:
Code Property Graph Meets Typestate: A Scalable Framework to Behavioral Bug Detection. 1-12 - Timothée Riom, Sabine Houy, Bruno Kreyssig, Alexandre Bartel:
Evaluating the Maintainability of Forward-Porting Vulnerabilities in Fuzzer Benchmarks. 1-12 - Saima Afrin, Bowen Xu, Antonio Mastropaolo:
Is Quantization a Deal-Breaker? Empirical Insights From Large Code Models. 1-13 - Seonah Lee, Jueun Heo, Katherine R. Dearstyne:
Can Llms Update Api Documentation? 1-12 - Steffen Enders, Eva-Maria C. Behner, Elmar Padilla:
A Jump-Table-Agnostic Switch Recovery on ASTs. 1-12 - Ronnie de Souza Santos, Matheus de Morais Leça, Reydne Santos, Cleyton V. C. de Magalhães:
Software Fairness Testing in Practice. 13-23 - Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo:
APIDocBooster: An Extract-Then-Abstract Framework for Augmenting API Documentation. 36-47 - Siqi Fan, Xin Liu, Yingli Zhang, Yuan Tan, Luxing Yin, Zhaorun Chen, Song Li, Lei Qiao, Rui Zhou:
LLM-SZZ: Novel Vulnerability-Inducing Commit Identification Driven by Large Language Model and CVE Description. 48-60 - Lei Yu, Shiqi Cheng, Zhirong Huang, Jingyuan Zhang, Chenjie Shen, Junyi Lu, Li Yang, Fengjun Zhang, Jiajia Ma:
SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection. 61-72 - Bin Duan, Tarek Mahmud, Meiru Che, Yan Yan, Naipeng Dong, Dan Dongseong Kim, Guowei Yang:
Harnessing LLMs for Document-Guided Fuzzing of OpenCV Library. 73-84 - Jiajun Jiang, Fengjie Li, Zijie Zhao, Zhirui Ye, Mengjiao Liu, Bo Wang, Hongyu Zhang, Junjie Chen:
Boosting Redundancy-Based Automated Program Repair by Fine-Grained Pattern Mining. 85-97 - Wentong Tian, Yuanzhang Lin, Xiang Gao, Hailong Sun:
Enhanced Vulnerability Localization: Harmonizing Task-Specific Tuning and General LLM Prompting. 110-122 - Falko Galperin, Michel Krause, Rainer Koschke:
Evaluation of the Language Server Protocol for Static Dependency Analysis. 123-134 - Changrong Xie, Yang Zhang, Xinjun Mao, Kang Yang, Tanghaoran Zhang:
Understanding the Faults in Serverless Computing Based Applications: An Empirical Study. 161-173 - Steven Cho, Stefano Ruberto, Valerio Terragni:
Metamorphic Testing of Large Language Models for Natural Language Processing. 174-186 - Alvari Kupari, Nasser Giacaman, Valerio Terragni:
Adoption and Evolution of Code Style and Best Programming Practices in Open-Source Projects. 187-198 - Sergio Di Meglio, Luigi Libero Lucio Starace, Valeria Pontillo, Ruben Opdebeeck, Coen De Roover, Sergio Di Martino:
Performance Testing in Open-Source Web Projects: Adoption, Maintenance, and a Change Taxonomy. 199-210 - Likai Ye, Mengliang Li, Dehai Zhao, Jiamou Sun, Xiaoxue Ren:
Bridging Solidity Evolution Gaps: An LLM-Enhanced Approach for Smart Contract Compilation Error Resolution. 223-234 - Gilles Coremans, Coen De Roover:
Onweer: Automated Resilience Testing Through Fuzzing. 248-259 - Yuhao Peng, Jingzheng Wu, Xiang Ling, Zhiyuan Li, Tianyue Luo, Yanjun Wu:
OptionFuzz: Fuzzing SMT Solvers with Optimized Option Exploration via Large Language Models. 260-270 - Zixian Zhang, Takfarinas Saber:
AST-Enhanced or AST-Overloaded? The Surprising Impact of Hybrid Graph Representations on Code Clone Detection. 271-281 - Stefano Fossati, Damian Andrew Tamburri, Massimiliano Di Penta, Marco Tonnarelli:
"Let it be Chaos in the Plumbing!" Usage and Efficacy of Chaos Engineering in DevOps Pipelines. 282-294 - Ajmain Inqiad Alam, Palash Ranjan Roy, Farouq Al-Omari, Chanchal K. Roy, Banani Roy, Kevin A. Schneider:
Are Classical Clone Detectors Good Enough for the AI Era? 295-307 - Samah Kansab, Francis Bordeleau, Ali Tizghadam:
Are All Code Reviews the Same? Identifying and Assessing the Impact of Merge Request Deviations. 308-320 - Matt Pope, Jonathan Sillito:
Characterizing the System Evolution That is Proposed After a Software Incident. 321-332 - Xuming Jin, Hao Han:
ADPP: Automated Data-Centric Program Partitioning. 333-343 - Prachnachai Meakpaiboonwattana, Warittha Tarntong, Thai Mekratanavorakul, Chaiyong Ragkhitwetsagul, Pattaraporn Sangaroonsilp, Raula Gaikovina Kula, Morakot Choetkiertikul, Kenichi Matsumoto, Thanwadee Sunetnanta:
Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News. 344-355 - Marcus Birgersson, Cyrille Artho, Musard Balliu:
Trust and Verify: Formally Verified and Upgradable Trusted Functions. 356-367 - Catherine Tony, Emanuele Iannone, Riccardo Scandariato:
Retrieve, Refine, or Both? Using Task-Specific Guidelines for Secure Python Code Generation. 368-379 - Roman Machácek, Anastasiia Grishina, Max Hort, Leon Moonen:
The Impact of Fine-Tuning Large Language Models on Automated Program Repair. 380-392 - Altaf Allah Abbassi, Léuson M. P. da Silva, Amin Nikanjam, Foutse Khomh:
A Taxonomy of Inefficiencies in LLM-Generated Python Code. 393-404 - Hamid Mohayeji, Eleni Constantinou, Alexander Serebrenik:
Security Vulnerabilities in Docker Images: A Cross-Tag Study of Application Dependencies. 405-417 - Arthur Pilone, Marco Raglianti, Michele Lanza, Fabio Kon, Paulo Meirelles:
Automatically Augmenting GitHub Issues with Informative User Reviews. 418-429 - Philip Oliver, Jens Dietrich, Craig Anslow, Michael Homer:
Syntest-ACR: Automated Crash Reproduction for Javascript. 443-454 - Taizheng Wang, Yutong Wang, Wei Chang, Chunyang Ye, Hui Zhou:
Boosting Log Observability in Production Systems Through Bytecode-Driven Fault Variable Tracking. 480-491 - Saikat Mondal, Chanchal K. Roy:
Does Editing Improve Answer Quality on Stack Overflow? A Data-Driven Investigation. 492-504 - Xing Cui, Jingzheng Wu, Zhiyuan Li, Tianyue Luo, Xiang Ling:
RMGenie: An LLM-Based Agent Framework for Open Source Software README Generation. 505-516 - Corentin Latappy, Thomas Degueule, Jean-Rémy Falleri, Romain Robbes, Lina Ochoa:
ROSEAU: Fast, Accurate, Source-Based API Breaking Change Analysis in Java. 517-528 - Hengqin Yang, Jiwei Yan, Jun Yan, Bin Liang, Jian Zhang:
An Efficient Android App Debloating Approach Based on Multi-Layer Dependence Graph. 529-540 - Bocan Cao, Weiyuan Tong, Zhanyong Tang, Zixu Wang, Hao Huang, Yuheng Yan:
Nüwa: Enhancing MLIR Fuzzing with LLM-Driven Generation and Adaptive Mutation. 541-552 - Maryam Ekhlasi, Arnaud Fiorini, Michel R. Dagenais, Naser Ezzati-Jivan, Maxime Lamothe:
HybridRCA: Lightweight Critical-Path-Aware Hybrid Tracing for Root-Cause Analysis in Production Microservices. 553-564 - Maximilian Jungwirth, Martin Gruber, Gordon Fraser:
Improving Merge Pipeline Throughput in Continuous Integration via Pull Request Prioritization. 565-575 - Jens Dietrich, Tim White, Behnaz Hassanshahi, Paddy Krishnan:
Levels of Binary Equivalence for the Comparison of Binaries from Alternative Builds. 576-587 - Hrishikesh Karmarkar, Supriya Agrawal, Siddhesh Pagar, Vaibhavi Joshi, Sagar Verma, Naman Paul:
Constraint Discovery for Structured Generation via LLM-Guided SMT Inference. 588-593 - Davi Gama Hardman, César França, Brody Stuart-Verner, Ronnie de Souza Santos:
Testing is Not Boring: Characterizing Challenge in Software Testing Tasks. 594-601 - Shweta Ramesh, Joy Bose, Hamender Singh, A K. Raghavan, Sujoy Roy Chowdhury, Giriprasad Sridhara, Nishrith Saini, Ricardo Britto:
Automated Code Review Using Large Language Models at Ericsson: An Experience Report. 602-607 - Zezhou Yang, Ting Peng, Cuiyun Gao, Chaozheng Wang, Hailiang Huang, Yuetang Deng:
A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat. 608-619 - Sarmad Bashir, Alessio Ferrari, Abbas Khan, Per Erik Strandberg, Zulqarnain Haider, Mehrdad Saadatmand, Markus Bohlin:
Requirements Ambiguity Detection and Explanation with LLMS: An Industrial Study. 620-631 - Henri Aïdasso, Francis Bordeleau, Ali Tizghadam:
Efficient Detection of Intermittent Job Failures Using Few-Shot Learning. 632-643 - Nan Yang, Joseph Reynolds, Laurens Prast, Rosilde Corvino:
AskGraph: A Dependency-Aware Code Assistant Powered by Code Graphs and LLM-Generated Cypher Queries. 644-655 - Tewfik Ziadi, Karim Ghallab, Zaak Chalal:
Automated Recovery of Software Product Lines from Legacy Configurable Codebases. 656-666 - Alexandre Lemos, Joana Coutinho:
AI Mentor System: Building a Technical Debt Dashboard for Low Code. 679-684 - Feng Luo, Kexing Ji, Cuiyun Gao, Shuzheng Gao, Jia Feng, Kui Liu, Xin Xia, Michael R. Lyu:
Integrating Rules and Semantics for LLM-Based C-to-Rust Translation. 685-696 - Simeon Tverdal, Phu Hong Nguyen, Arda Goknil, Antonio Martini, Merve Astekin, Mili Orucevic, Maren Maritsdatter Kruke, Håvard Stranden:
Combining Insights from Multiple Tools to Manage Technical Debt in Industrial C# Projects. 709-720 - Jadson Santos, Daniel Alencar da Costa, Uirá Kulesza:
Monitoring Continuous Integration Practices in Industry: A Case Study. 721-731 - Wannita Takerngsaksiri, Chakkrit Tantithamthavorn, Michael Fu, Jirat Pasuksmit, Kun Chen, Ming Wu:
Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian. 732-742 - Hira Naveed, John C. Grundy, Chetan Arora, Hourieh Khalajzadeh, Omar Haggag:
Understanding Practitioners' Perspectives on Monitoring Machine Learning Systems. 743-754 - Omar I. Al-Bataineh:
Towards Interaction-Aware Validation Oracles for Multi-Fault Program Repair. 755-760 - Tiezhu Sun, Marco Alecci, Aleksandr Pilgun, Yewei Song, Xunzhu Tang, Jordan Samhi, Tegawendé F. Bissyandé, Jacques Klein:
MalLoc: Toward Fine-Grained Android Malicious Payload Localization via LLMs. 761-766 - Taher A. Ghaleb, Dulina Rathnayake:
Can LLMs Write CI? a Study on Automatic Generation of GitHub Actions Configurations. 767-772 - Nitika Chopra, Taher A. Ghaleb:
From First Use to Final Commit: Studying the Evolution of Multi-CI Service Adoption. 773-778 - Kosei Horikawa, Yutaro Kashiwa, Bin Lin, Kenji Fujiwara, Hajimu Iida:
How Does Test Code Differ from Production Code in Terms of Refactoring? An Empirical Study. 779-784 - Andreas Pointner, Josef Pichler, Herbert Prähofer:
Inferring Attributed Grammars from Parser Implementations. 785-790 - Gustave Monce, Thomas Degueule, Jean-Rémy Falleri, Romain Robbes:
Client-Library Compatibility Testing with API Interaction Snapshots. 791-796 - Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé:
Rethinking Cognitive Complexity for Unit Tests: Toward a Readability-Aware Metric Grounded in Developer Perception. 797-802 - Adam Yuen, John Pangas, Md Mainul Hasan Polash, Ahmad Abdellatif:
Prompting Matters: Assessing the Effect of Prompting Techniques on LLM-Generated Class Code. 803-808 - Kota Someya, Lei Chen, Michael J. Decker, Shinpei Hayashi:
How Much Can a Behavior-Preserving Changeset Be Decomposed Into Refactoring Operations? 809-814 - Md Arif Hasan, Toukir Ahammed:
Prioritizing Test Smells: An Empirical Evaluation of Quality Metrics and Developer Perceptions. 815-820 - Ahmet Emir Bosnak, Sahand Moslemi, Mayasah Lami, Anil Koyuncu:
Explicit Vulnerability Generation with LLMs: An Investigation Beyond Adversarial Attacks. 821-826 - Ergün Batuhan Kaynak, Mayasah Lami, Sahand Moslemi, Anil Koyuncu:
LLMShot: Reducing Snapshot Testing Maintenance via LLMs. 827-832 - Chunrun Tao, Honglin Shu, Masanari Kondo, Yasutaka Kamei:
A Preliminary Study on Large Language Models Self-Negotiation in Software Engineering. 833-838 - Aman Swaraj, Krishna Agarwal, Atharv Joshi, Sandeep Kumar:
Detecting Adversarial Prompted AI-Generated Code on Stack Overflow: A Benchmark Dataset and an Enhanced Detection Approach. 839-844 - Tasmia Zerin, Moumita Asad, B. M. Mainul Hossain, Kazi Sakib:
Repairing Responsive Layout Failures Using Retrieval Augmented Generation. 845-850 - Daniel Knight, Tanmay Bhowmik:
Toward a Resilience-Oriented Understanding of Unit Test Suites and Refactoring in Software Evolution. 857-859 - Ruksit Rojpaisarnkit, Kenichi Matsumoto:
Towards Proficiency Assessment Through Code. 860-864 - Zushuai Zhang:
The Influence of Code Smell Interactions on Software Maintainability. 865-869 - Arthur Pilone:
Ensuring Code Integrity in the Era of AI-Assisted Software Development. 870-872 - Toru Sugiyama:
Understanding and Simulating OSS Evolution: A Case Study on PyMC. 873-877 - Julian Oertel, Regina Hebig:
The Impact of Generative AI on Developer Practices, Behavior, and Software Quality. 878-880 - Ruofan Gao:
Bugs in AI-Generated Code - Understanding Bug Patterns and Possible Fix Strategies. 881-883 - Palash Roy:
Towards Just-In-Time, Inclusive Clone Refactoring. 884-886 - Stefano Fossati:
Enhancing Infrastructure Maintenance and Evolution Through Graph-Based Visualization and Analysis. 887-889 - Sabbir M. Saleh:
DevSecLogs: AI-Powered, Tamper-Evident Log Intelligence for Secure CI/CD Pipelines. 890-894 - Owen Truong, Terrence Zhang, Arnav Marchareddy, Ryan Lee, Jeffery Busold, Michael Socas, Eman Abdullah AlOmar:
Leakagedetector 2.0: Analyzing Data Leakage in Jupyter-Driven Machine Learning Pipelines. 895-899 - Maxime André, Marco Raglianti, Anthony Cleve, Michele Lanza:
DENIM: Exploring Data Access in Microservices. 900-904 - Hiroyuki Kirinuki, Masaki Tajima, Kei Wakabayashi:
XTestGen: Natural Language to Maintainable E2E Test Scripts with LLMs. 905-909 - Cathrine Paulsen, Sebastian Proksch:
MaRCo: Compatible Version Ranges in Maven. 910-914 - Yousab Grees, Polina Iaremchuk, Ramtin Ehsani, Esteban Parra, Preetha Chatterjee, Sonia Haiduc:
AI-Powered Commit Explorer (APCE). 915-919 - Quinten Smit, Jens Dietrich, Michael Homer, Andrew Fawcet, James Noble:
JDala - A Simple Capability System for Java. 920-924 - Sajjad Hesamipour, Thomas Laurent, Anthony Ventresque:
MediumDarwin: LittleDarwin Grows with Performance and Research-Oriented Extensions. 925-929 - Ravin Ravi, Dylan Bradshaw, Stefano Ruberto, Gunel Jahangirova, Valerio Terragni:
LLMLOOP: Improving LLM-Generated Code and Tests Through Automated Iterative Feedback Loops. 930-934 - Manaal Basha, Aimeê M. Ribeiro, Jeena Javahar, Cleidson R. B. de Souza, Gema Rodríguez-Pérez:
CodeWatcher: IDE Telemetry Data Extraction Tool for Understanding Coding Interactions with LLMs. 935-939 - 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:
LadyBug: A GitHub Bot for UI-Enhanced Bug Localization in Mobile Apps. 940-944 - Duong Nguyen, Manh Tran-Duc, Thanh Le-Cong, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh:
VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models. 945-949 - Kowshik Reddy Challa, Sonith M. V, Chiranjeevi B. S, Sridhar Chimalakonda:
COB2PY - A Non-AI, Rule-Based COBOL to Python Translator. 950-954
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