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ORCID22nd MSR 2025: Ottawa, ON, Canada
- 22nd IEEE/ACM International Conference on Mining Software Repositories, MSR@ICSE 2025, Ottawa, ON, Canada, April 28-29, 2025. IEEE 2025, ISBN 979-8-3315-0183-9
- Yi-Hung Chou, Yiyang Min, April Yi Wang, James A. Jones:
Learning from Mistakes: Understanding Ad-hoc Logs through Analyzing Accidental Commits. 1-13 - Xhulja Shahini, Jone Bartel, Klaus Pohl:
On the calibration of Just-in-time Defect Prediction. 14-26 - Dingbang Wang
, Zhaoxu Zhang, Sidong Feng, William G. J. Halfond, Tingting Yu:
An Empirical Study on Leveraging Images in Automated Bug Report Reproduction. 27-38 - Shrey Tiwari, Serena Chen, Alexander Joukov, Peter Vandervelde, Ao Li, Rohan Padhye:
It's About Time: An Empirical Study of Date and Time Bugs in Open-Source Python Software. 39-51 - Emanuela Guglielmi, Andrea D'Aguanno, Rocco Oliveto, Simone Scalabrino:
Enhancing Just-In-Time Defect Prediction Models with Developer-Centric Features. 52-62 - Md Nakhla Rafi, An Ran Chen, Tse-Hsun Peter Chen, Shaohua Wang:
Revisiting Defects4J for Fault Localization in Diverse Development Scenarios. 63-75 - Dylan Callaghan, Bernd Fischer:
Mining Bug Repositories for Multi-Fault Programs. 76-80 - Piotr Przymus, Mikolaj Fejzer, Jakub Narebski, Radoslaw Wozniak, Lukasz Halada, Aleksander Kazecki, Mykhailo Molchanov, Krzysztof Stencel:
HaPy-Bug - Human Annotated Python Bug Resolution Dataset. 81-85 - Ahmed Adnan, Antu Saha, Oscar Chaparro:
SPRINT: An Assistant for Issue Report Management. 86-90 - Piotr Przymus, Thomas Durieux:
Wolves in the Repository: A Software Engineering Analysis of the XZ Utils Supply Chain Attack. 91-102 - Sabato Nocera, Sira Vegas, Giuseppe Scanniello, Natalia Juristo:
Software Composition Analysis and Supply Chain Security in Apache Projects: an Empirical Study. 103-115 - Anas El Hounsri, Daniel Garijo:
Good practice versus reality: A landscape analysis of Research Software metadata adoption in European Open Science Clusters. 116-128 - Zhuang Liu, Xing Hu, Jiayuan Zhou, Xin Xia:
From Industrial Practices to Academia: Uncovering the Gap in Vulnerability Research and Practice. 129-141 - Gunnar Kudrjavets:
Patch Me If You Can - Securing the Linux Kernel. 142-143 - Mahmoud Jahanshahi, David Reid, Adam McDaniel, Audris Mockus:
OSS License Identification at Scale: A Comprehensive Dataset Using World of Code. 144-148 - Chavhan Sujeet Yashavant, MitrajSinh Chavda, Saurabh Kumar, Amey Karkare, Angshuman Karmakar:
SCRUBD: Smart Contracts Reentrancy and Unhandled Exceptions Vulnerability Dataset. 149-153 - Chaomeng Lu, Tianyu Li, Toon Dehaene, Bert Lagaisse:
ICVul: A Well-labeled C/C++ Vulnerability Dataset with Comprehensive Metadata and VCCs. 154-158 - Youness Hourri, Alexandre Decan, Tom Mens:
A Dataset of Contributor Activities in the NumFocus Open-Source Community. 159-163 - Luis Soeiro, Thomas Robert, Stefano Zacchiroli:
Wild SBOMs: a Large-scale Dataset of Software Bills of Materials from Public Code. 164-168 - Bikash Saha, Nanda Rani, Sandeep Kumar Shukla:
MaLAware: Automating the Comprehension of Malicious Software Behaviours using Large Language Models (LLMs). 169-173 - Imen Jaoua, Oussama Ben Sghaier, Houari A. Sahraoui:
Combining Large Language Models with Static Analyzers for Code Review Generation. 174-186 - Oussama Ben Sghaier, Martin Weyssow, Houari A. Sahraoui:
Harnessing Large Language Models for Curated Code Reviews. 187-198 - Nafisa Ahmed, Hin Chi Kwok, Mohammad Hamdaqa, Wesley K. G. Assunção:
SMATCH-M-LLM: Semantic Similarity in Metamodel Matching With Large Language Models. 199-210 - Nathalia Nascimento, Everton Guimarães, Sai Sanjna Chintakunta, Santhosh Anitha Boominathan:
How Effective are LLMs for Data Science Coding? A Controlled Experiment. 211-222 - Daniele Bifolco, Pietro Cassieri, Giuseppe Scanniello, Massimiliano Di Penta, Fiorella Zampetti:
Do LLMs Provide Links to Code Similar to What They Generate? A Study with Gemini and Bing CoPilot. 223-235 - Chunhua Liu, Hong Yi Lin, Patanamon Thongtanunam:
Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation. 236-248 - Kyi Shin Khant, Hong Yi Lin, Patanamon Thongtanunam:
Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks. 249-254 - Samuel Abedu, Laurine Menneron, SayedHassan Khatoonabadi, Emad Shihab:
RepoChat: An LLM-Powered Chatbot for GitHub Repository Question-Answering. 255-259 - George Lake, Minhaz F. Zibran:
Analyzing Dependency Clusters and Security Risks in the Maven Central Repository. 260-264 - Md. Fazle Rabbi, Arifa Islam Champa, Rajshakhar Paul, Minhaz F. Zibran:
Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem? 265-269 - Costain Nachuma, Md Mosharaf Hossan, Asif Kamal Turzo, Minhaz F. Zibran:
Decoding Dependency Risks: A Quantitative Study of Vulnerabilities in the Maven Ecosystem. 270-274 - Md Shafiullah Shafin, Md. Fazle Rabbi, S. M. Mahedy Hasan, Minhaz F. Zibran:
Faster Releases, Fewer Risks: A Study on Maven Artifact Vulnerabilities and Lifecycle Management. 275-279 - Barisha Chowdhury, Md. Fazle Rabbi, S. M. Mahedy Hasan, Minhaz F. Zibran:
Insights into Dependency Maintenance Trends in the Maven Ecosystem. 280-284 - Courtney Bodily, Eric Hill, Andreas Kramer, Leslie Kerby, Minhaz F. Zibran:
Insights into Vulnerability Trends in Maven Artifacts: Recurrence, Popularity, and User Behavior. 285-289 - Md. Fazle Rabbi, Rajshakhar Paul, Arifa Islam Champa, Minhaz F. Zibran:
Understanding Software Vulnerabilities in the Maven Ecosystem: Patterns, Timelines, and Risks. 290-294 - Baltasar Berretta, Augustus Thomas, Heather Guarnera:
Dependency Update Adoption Patterns in the Maven Software Ecosystem. 295-299 - Taha Draoui, Faten Jebari, Chawki Ben Slimen, Munjaap Uppal, Mohamed Wiem Mkaouer:
Analyzing Vulnerability Overestimation in the Maven Ecosystem. 300-303 - Mehedi Hasan Shanto, Muhammad Asaduzzaman, Manishankar Mondal, Shaiful Alam Chowdhury:
Dependency Dilemmas: A Comparative Study of Independent and Dependent Artifacts in Maven Central Ecosystem. 304-308 - Mina Shehata, Saidmakhmud Makhkamjonoov, Mahad Syed, Esteban Parra:
Cascading Effects: Analyzing Project Failure Impact in the Maven Central Ecosystem. 309-313 - Haruhiko Yoshioka, Sila Lertbanjongngam, Masayuki Inaba, Youmei Fan, Takashi Nakano, Kazumasa Shimari, Raula Gaikovina Kula, Kenichi Matsumoto:
Do Developers Depend on Deprecated Library Versions? A Mining Study of Log4j. 314-318 - Hidetake Tanaka, Kazuma Yamasaki, Momoka Hirose, Takashi Nakano, Youmei Fan, Kazumasa Shimari, Raula Gaikovina Kula, Kenichi Matsumoto:
Mining for Lags in Updating Critical Security Threats: A Case Study of Log4j Library. 319-323 - Nabhan Suwanachote, Yagut Shakizada, Yutaro Kashiwa, Bin Lin, Hajimu Iida:
On the Evolution of Unused Dependencies in Java Project Releases: An Empirical Study. 324-328 - Piotr Przymus, Mikolaj Fejzer, Jakub Narebski, Krzysztof Rykaczewski, Krzysztof Stencel:
Out of Sight, Still at Risk: The Lifecycle of Transitive Vulnerabilities in Maven. 329-333 - Nkiru Ede, Jens Dietrich, Ulrich Zülicke:
Popularity and Innovation in Maven Central. 334-338 - Yogya Gamage, Nadia Gonzalez Fernandez, Martin Monperrus, Benoit Baudry:
Software Bills of Materials in Maven Central. 339-343 - Ehtisham Ul Haq, Song Wang, Robert S. Allison:
The Ripple Effect of Vulnerabilities in Maven Central: Prevalence, Propagation, and Mitigation Challenges. 344-348 - Corey Yang-Smith, Ahmad Abdellatif:
Tracing Vulnerabilities in Maven: A Study of CVE lifecycles and Dependency Networks. 349-353 - Kazi Amit Hasan, Jerin Yasmin, Huizi Hao, Yuan Tian, Safwat Hassan, Steven H. H. Ding:
Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem. 354-358 - Saviour Owolabi, Francesco Rosati, Ahmad Abdellatif, Lorenzo De Carli:
Characterizing Packages for Vulnerability Prediction. 359-363 - Sadman Jashim Sakib, Muhammad Asaduzzaman, Curtis Bright, Cole Morgan:
Understanding the Popularity of Packages in Maven Ecosystem. 364-368 - Damien Jaime, Joyce El Haddad, Pascal Poizat:
Navigating and Exploring Software Dependency Graphs Using Goblin. 369-371 - Adèle Desmazières, Roberto Di Cosmo, Valentin Lorentz:
50 Years of Programming Language Evolution through the Software Heritage looking glass. 372-383 - Ghazal Sobhani, Israat Haque, Tushar Sharma:
It Works (only) on My Machine: A Study on Reproducibility Smells in Ansible Scripts. 384-395 - Tien Nguyen, Waris Gill, Muhammad Ali Gulzar:
Are the Majority of Public Computational Notebooks Pathologically Non-Executable? 396-407 - Suraj Bhatta, Frank Kendemah, Ajay Kumar Jha:
Understanding Test Deletion in Java Applications. 408-420 - Alix Decrop, Sara Eraso, Xavier Devroey, Gilles Perrouin:
A Public Benchmark of REST APIs. 421-433 - Bruna Falcucci, Felipe Gomide, André C. Hora:
What Do Contribution Guidelines Say About Software Testing? 434-438 - Chamindra de Silva, Daniel Izquierdo-Cortazar:
Measuring InnerSource Value. 439-440 - Kaihang Jiang, Bihui Jin, Pengyu Nie:
CoUpJava: A Dataset of Code Upgrade Histories in Open-Source Java Repositories. 441-445 - Ilham A. Qasse, Mohammad Hamdaqa, Björn Þór Jónsson:
EvoChain: A Framework for Tracking and Visualizing Smart Contract Evolution. 446-450 - Kunal Suresh Pai, Premkumar T. Devanbu, Toufique Ahmed:
CoDocBench: A Dataset for Code-Documentation Alignment in Software Maintenance. 451-455 - Vahid Haratian, Pouria Derakhshanfar, Vladimir Kovalenko, Eray Tüzün:
RefExpo: Unveiling Software Project Structures through Advanced Dependency Graph Extraction. 456-460 - Quentin Le Dilavrec, Andy Zaidman:
HyperAST: Incrementally Mining Large Source Code Repositories. 461-464 - Fabio Salerno, Ali Al-Kaswan, Maliheh Izadi:
How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks Before and After Fine-tuning. 465-477 - Mohammad Talal Jamil, Shamsa Abid, Shafay Shamail:
Can LLMs Generate Higher Quality Code Than Humans? An Empirical Study. 478-489 - Jiho Shin, Clark Tang, Tahmineh Mohati, Maleknaz Nayebi, Song Wang, Hadi Hemmati:
Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code. 490-502 - Timur Galimzyanov, Sergey Titov, Yaroslav Golubev, Egor Bogomolov:
Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code. 503-507 - Daniel Rodríguez-Cárdenas, Alejandro Velasco, Denys Poshyvanyk:
SnipGen: A Mining Repository Framework for Evaluating LLMs for Code. 508-512 - Andrei Bogdan, Mauricio Verano Merino, Ivano Malavolta:
The Ecosystem of Open-Source Music Production Software - A Mining Study on the Development Practices of VST Plugins on GitHub. 513-525 - Toufique Ahmed, Premkumar T. Devanbu, Christoph Treude, Michael Pradel:
Can LLMs Replace Manual Annotation of Software Engineering Artifacts? 526-538 - Md Shamimur Rahman, Zadia Codabux, Chanchal K. Roy:
Investigating the Understandability of Review Comments on Code Change Requests. 539-551 - Matteo Vaccargiu, Sabrina Aufiero, C. Ba, Silvia Bartolucci, Richard G. Clegg, Daniel Graziotin, Rumyana Neykova, Roberto Tonelli, Giuseppe Destefanis:
Mining a Decade of Event Impacts on Contributor Dynamics in Ethereum: A Longitudinal Study. 552-563 - Emanuela Guglielmi, Gabriele Bavota, Nicole Novielli, Rocco Oliveto, Simone Scalabrino:
Is it Really Fun? Detecting Low Engagement Events in Video Games. 564-575 - Rio Kishimoto, Tetsuya Kanda, Yuki Manabe, Katsuro Inoue, Shi Qiu, Yoshiki Higo:
A Dataset of Software Bill of Materials for Evaluating SBOM Consumption Tools. 576-580 - Tomoki Nakamaru, Tomomasa Matsunaga, Tetsuro Yamazaki:
Jupyter Notebook Activity Dataset. 581-585 - Vivek Sarkar, Anemone Kampkötter, Ben Hermann:
CoPhi - Mining C/C++ Packages for Conan Ecosystem Analysis. 586-590 - Johannes Düsing, Jared Chiaramonte, Ben Hermann:
MARIN: A Research-Centric Interface for Querying Software Artifacts on Maven Repositories. 591-595 - Nicolas Hlad, Benoît Verhaeghe, Kilian Bauvent:
GitProjectHealth: an Extensible Framework for Git Social Platform Mining. 596-600 - Benoit Baudry, Erik Natanael Gustafsson, Roni Kaufman, Maria Kling:
MYRIAD PEOPLE Open Source Software for New Media Arts. 601-605 - Erfan Raoofian, Fatemeh H. Fard, Ifeoma Adaji, Gema Rodríguez-Pérez:
OpenMent: A Dataset of Mentor-Mentee Interactions in Google Summer of Code. 606-610 - Kalvin Eng, Abram Hindle:
Under the Blueprints: Parsing Unreal Engine's Visual Scripting at Scale. 611-615 - Anwar Ghammam, Dhia Elhaq Rzig, Mohamed Almukhtar, Rania Khalsi, Foyzul Hassan, Marouane Kessentini:
Build Code Needs Maintenance Too: A Study on Refactoring and Technical Debt in Build Systems. 616-628 - Ziyang Ye, Triet Huynh Minh Le, M. Ali Babar:
LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations. 629-641 - Mahi Begoug, Ali Ouni, Moataz Chouchen:
How Do Infrastructure-as-Code Practitioners Update Their Dependencies? An Empirical Study on Terraform Module Updates. 642-653 - Christoph Bühler, David Spielmann, Roland Meier, Guido Salvaneschi:
TerraDS: A Dataset for Terraform HCL Programs. 654-658 - Zhuoran Tan, Christos Anagnostopoulos, Jeremy Singer:
OSPtrack: A Labeled Dataset Targeting Simulated Execution of Open-Source Software. 659-663 - Euxane Tran-Girard, Laurent Bulteau, Pierre-Yves David:
CARDS: A collection of package, revision, and miscellaneous dependency graphs. 664-668 - Florent Moriconi, Thomas Durieux, Jean-Rémy Falleri, Raphaël Troncy, Aurélien Francillon:
GHALogs: Large-Scale Dataset of GitHub Actions Runs. 669-673 - Navid Bin Hasan, Md. Ashraful Islam, Junaed Younus Khan, Sanjida Senjik, Anindya Iqbal:
Automatic High-Level Test Case Generation using Large Language Models. 674-685 - Mahan Tafreshipour, Aaron Imani, Eric Huang, Eduardo Santana de Almeida, Thomas Zimmermann, Iftekhar Ahmed:
Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories. 686-698 - Ramtin Ehsani, Sakshi Pathak, Preetha Chatterjee:
Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution. 699-711 - Ahmad J. Tayeb, Sonia Haiduc:
Intelligent Semantic Matching (ISM) for Video Tutorial Search using Transformer Models. 712-724 - Negar Alizadeh, Boris Belchev, Nishant Saurabh, Patricia Kelbert, Fernando Castor:
Language Models in Software Development Tasks: An Experimental Analysis of Energy and Accuracy. 725-736 - Anisha Islam, Abram Hindle:
TriGraph: A Probabilistic Subgraph-Based Model for Visual Code Completion in Pure Data. 737-749 - Faiz Ahmed, Xuchen Tan, Folajinmi Adewole, Suprakash Datta, Maleknaz Nayebi:
Inferring Questions from Programming Screenshots. 750-755 - Jirat Pasuksmit, Wannita Takerngsaksiri, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Ruixiong Zhang, Shiyan Wang, Fan Jiang, Jing Li, Evan Cook, Kun Chen, Ming Wu:
Human-In-The-Loop Software Development Agents: Challenges and Future Directions. 756-757 - Madhurima Chakraborty, Peter Pirkelbauer, Qing Yi:
FormalSpecCpp: A Dataset of C++ Formal Specifications created using LLMs. 758-762 - Karthik Shivashankar, Antonio Martini:
PyExamine: A Comprehensive, Un-Opinionated Smell Detection Tool for Python. 763-774 - Julien Malka, Stefano Zacchiroli, Théo Zimmermann:
Does Functional Package Management Enable Reproducible Builds at Scale? Yes. 775-787 - Emna Ksontini, Meriem Mastouri, Rania Khalsi, Wael Kessentini:
Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential. 788-800 - Seif Kosbar, Mohammad Hamdaqa:
Smells-sus: Sustainability Smells in IaC. 801-812 - Shaiful Alam Chowdhury, Hisham Kidwai, Muhammad Asaduzzaman:
Evidence is All We Need: Do Self-Admitted Technical Debts Impact Method-Level Maintenance? 813-825 - Aryan Boloori, Tushar Sharma:
DPy: Code Smells Detection Tool for Python. 826-830 - Mouna Dhaouadi, Bentley Oakes, Michalis Famelis:
CoMRAT: Commit Message Rationale Analysis Tool. 831-835 - Sergio Di Meglio, Luigi Libero Lucio Starace, Valeria Pontillo, Ruben Opdebeeck, Coen De Roover, Sergio Di Martino:
E2EGit: A Dataset of End-to-End Web Tests in Open Source Projects. 836-840 - Altino Alves, André C. Hora:
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest. 841-845 - Idriss Abdelmadjid, Robert Dyer:
pyMethods2Test: A Dataset of Python Tests Mapped to Focal Methods. 846-850 - Mengzhen Li, Mattia Fazzini:
DataTD: A Dataset of Java Projects Including Test Doubles. 851-855 - Kaveh Shahedi, Maxime Lamothe, Foutse Khomh, Heng Li:
JPerfEvo: A Tool for Tracking Method-Level Performance Changes in Java Projects. 856-860
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