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ICSME 2025

A

International Conference on Software Maintenance and Evolution

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102
accepted papers
415
authors
September 07-12, 2025
dates
New Zealand
location

102 / 102 papers

  1. 1
    "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
  2. 2
    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
  3. 3
    A Jump-Table-Agnostic Switch Recovery on ASTs
    Steffen Enders
    ,
    Eva-Maria C. Behner
    ,
    Elmar Padilla
  4. 4
    A Preliminary Study on Large Language Models Self-Negotiation in Software Engineering
    Chunrun Tao
    ,
    Honglin Shu
    ,
    Masanari Kondo
    ,
    Yasutaka Kamei
  5. 5
    A Taxonomy of Inefficiencies in LLM-Generated Python Code
    Altaf Allah Abbassi
    ,
    Léuson M. P. da Silva
    ,
    Amin Nikanjam
    ,
    Foutse Khomh
  6. 6
    Adoption and Evolution of Code Style and Best Programming Practices in Open-Source Projects
    Alvari Kupari
    ,
    Nasser Giacaman
    ,
    Valerio Terragni
  7. 7
    ADPP: Automated Data-Centric Program Partitioning
    Xuming Jin
    ,
    Hao Han
  8. 8
    AI Mentor System: Building a Technical Debt Dashboard for Low Code
    Alexandre Lemos
    ,
    Joana Coutinho
  9. 9
    AI-Powered Commit Explorer (APCE)
    Yousab Grees
    ,
    Polina Iaremchuk
    ,
    Ramtin Ehsani
    ,
    Esteban Parra
    ,
    Preetha Chatterjee
    ,
    Sonia Haiduc
  10. 10
    An Efficient Android App Debloating Approach Based on Multi-Layer Dependence Graph
    Hengqin Yang
    ,
    Jiwei Yan
    ,
    Jun Yan
    ,
    Bin Liang
    ,
    Jian Zhang
  11. 11
    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
  12. 12
    Are All Code Reviews the Same? Identifying and Assessing the Impact of Merge Request Deviations
    Samah Kansab
    ,
    Francis Bordeleau
    ,
    Ali Tizghadam
  13. 13
    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
  14. 14
    AskGraph: A Dependency-Aware Code Assistant Powered by Code Graphs and LLM-Generated Cypher Queries
    Nan Yang
    ,
    Joseph Reynolds
    ,
    Laurens Prast
    ,
    Rosilde Corvino
  15. 15
    AST-Enhanced or AST-Overloaded? The Surprising Impact of Hybrid Graph Representations on Code Clone Detection
    Zixian Zhang
    ,
    Takfarinas Saber
  16. 16
    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
  17. 17
    Automated Recovery of Software Product Lines from Legacy Configurable Codebases
    Tewfik Ziadi
    ,
    Karim Ghallab
    ,
    Zaak Chalal
  18. 18
    Automatically Augmenting GitHub Issues with Informative User Reviews
    Arthur Pilone
    ,
    Marco Raglianti
    ,
    Michele Lanza
    ,
    Fabio Kon
    ,
    Paulo Meirelles
  19. 19
    Boosting Log Observability in Production Systems Through Bytecode-Driven Fault Variable Tracking
    Taizheng Wang
    ,
    Yutong Wang
    ,
    Wei Chang
    ,
    Chunyang Ye
    ,
    Hui Zhou
  20. 20
    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
  21. 21
    Bridging Solidity Evolution Gaps: An LLM-Enhanced Approach for Smart Contract Compilation Error Resolution
    Likai Ye
    ,
    Mengliang Li
    ,
    Dehai Zhao
    ,
    Jiamou Sun
    ,
    Xiaoxue Ren
  22. 22
    Bugs in AI-Generated Code - Understanding Bug Patterns and Possible Fix Strategies
    Ruofan Gao
  23. 23
    Can Llms Update Api Documentation?
    Seonah Lee
    ,
    Jueun Heo
    ,
    Katherine R. Dearstyne
  24. 24
    Can LLMs Write CI? a Study on Automatic Generation of GitHub Actions Configurations
    Taher Ahmed Ghaleb
    ,
    Dulina Rathnayake
  25. 25
    Characterizing the System Evolution That is Proposed After a Software Incident
    Matt Pope
    ,
    Jonathan Sillito
  26. 26
    Client-Library Compatibility Testing with API Interaction Snapshots
    Gustave Monce
    ,
    Thomas Degueule
    ,
    Jean-Rémy Falleri
    ,
    Romain Robbes
  27. 27
    COB2PY - A Non-AI, Rule-Based COBOL to Python Translator
    Kowshik Reddy Challa
    ,
    Sonith M. V
    ,
    Chiranjeevi B. S
    ,
    Sridhar Chimalakonda
  28. 28
    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
  29. 29
    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
  30. 30
    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
  31. 31
    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
  32. 32
    Constraint Discovery for Structured Generation via LLM-Guided SMT Inference
    Hrishikesh Karmarkar
    ,
    Supriya Agrawal
    ,
    Siddhesh Pagar
    ,
    Vaibhavi Joshi
    ,
    Sagar Verma
    ,
    Naman Paul
  33. 33
    DENIM: Exploring Data Access in Microservices
    Maxime André
    ,
    Marco Raglianti
    ,
    Anthony Cleve
    ,
    Michele Lanza
  34. 34
    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
  35. 35
    DevSecLogs: AI-Powered, Tamper-Evident Log Intelligence for Secure CI/CD Pipelines
    Sabbir M. Saleh
  36. 36
    Does Editing Improve Answer Quality on Stack Overflow? A Data-Driven Investigation
    Saikat Mondal
    ,
    Chanchal K. Roy
  37. 37
    Efficient Detection of Intermittent Job Failures Using Few-Shot Learning
    Henri Aïdasso
    ,
    Francis Bordeleau
    ,
    Ali Tizghadam
  38. 38
    Enhanced Vulnerability Localization: Harmonizing Task-Specific Tuning and General LLM Prompting
    Wentong Tian
    ,
    Yuanzhang Lin
    ,
    Xiang Gao
    ,
    Hailong Sun
  39. 39
    Enhancing Infrastructure Maintenance and Evolution Through Graph-Based Visualization and Analysis
    Stefano Fossati
  40. 40
    Ensuring Code Integrity in the Era of AI-Assisted Software Development
    Arthur Pilone
  41. 41
    Evaluating the Maintainability of Forward-Porting Vulnerabilities in Fuzzer Benchmarks
    Timothée Riom
    ,
    Sabine Houy
    ,
    Bruno Kreyssig
    ,
    Alexandre Bartel
  42. 42
    Evaluation of the Language Server Protocol for Static Dependency Analysis
    Falko Galperin
    ,
    Michel Krause
    ,
    Rainer Koschke
  43. 43
    Explicit Vulnerability Generation with LLMs: An Investigation Beyond Adversarial Attacks
    Ahmet Emir Bosnak
    ,
    Sahand Moslemi
    ,
    Mayasah Lami
    ,
    Anil Koyuncu
  44. 44
    From First Use to Final Commit: Studying the Evolution of Multi-CI Service Adoption
    Nitika Chopra
    ,
    Taher Ahmed Ghaleb
  45. 45
    From Release to Adoption: Challenges in Reusing Pre-Trained Ai Models for Downstream Developers
    Peerachai Banyongrakkul
    ,
    Mansooreh Zahedi
    ,
    Patanamon Thongtanunam
    ,
    Christoph Treude
    ,
    Haoyu Gao
  46. 46
    Governance Matters: Lessons From Restructuring the Data.Table OSS Project
    Pedro Oliveira
    ,
    Doris Amoakohene
    ,
    Toby Hocking
    ,
    Marco Aurélio Gerosa
    ,
    Igor Steinmacher
  47. 47
    Harnessing LLMs for Document-Guided Fuzzing of OpenCV Library
    Bin Duan
    ,
    Tarek Mahmud
    ,
    Meiru Che
    ,
    Yan Yan
    ,
    Naipeng Dong
    ,
    Dan Dongseong Kim
    ,
    Guowei Yang
  48. 48
    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
  49. 49
    How Much Can a Behavior-Preserving Changeset Be Decomposed Into Refactoring Operations?
    Kota Someya
    ,
    Lei Chen
    ,
    Michael J. Decker
    ,
    Shinpei Hayashi
  50. 50
    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