IEEE International Working Conference on Mining Software Repositories

MSR

CORE rank

CORE rank (raw)

Fields of research

Software Engineering · Data Management and Data Science

Papers indexed

1,449

2004–2026

Best Data Science and Information Retrieval conferences Best Software Engineering conferences

Papers per year

2004145 peak2026

Most published authors

MSR papers

1,449 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2023	Keep the Ball Rolling: Analyzing Release Cadence in GitHub Projects.	Oz Kilic, Nathaniel Bowness, Olga Baysal
2023	Method Chaining Redux: An Empirical Study of Method Chaining in Java, Kotlin, and Python.	Ali M. Keshk, Robert Dyer
2023	What Happens When We Fuzz? Investigating OSS-Fuzz Bug History.	Brandon N. Keller, Benjamin S. Meyers, Andrew Meneely
2023	Intertwining Communities: Exploring Libraries that Cross Software Ecosystems.	Kanchanok Kannee, Raula Gaikovina Kula, Supatsara Wattanakriengkrai, Kenichi Matsumoto
2023	Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps.	Gerhard Jungwirth, Aakanksha Saha, Michael Schrder, Tobias Fiebig, Martina Lindorfer, Jrgen Cito
2023	PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages.	Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis
2023	Large Language Models and Simple, Stupid Bugs.	Kevin Jesse, Toufique Ahmed, Premkumar T. Devanbu, Emily Morgan
2023	PyMigBench: A Benchmark for Python Library Migration.	Mohayeminul Islam, Ajay Kumar Jha, Sarah Nadi, Ildar Akhmetov
2023	Evolution of the Practice of Software Testing in Java Projects.	Anisha Islam, Nipuni Tharushika Hewage, Abdul Ali Bangash, Abram Hindle
2023	Picaso: Enhancing API Recommendations with Relevant Stack Overflow Posts.	Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo
2023	An Empirical Study on the Performance of Individual Issue Label Prediction.	Jueun Heo, Seonah Lee
2023	Understanding the Time to First Response in GitHub Pull Requests.	Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding
2023	Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.	Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan
2023	Cross-Domain Evaluation of a Deep Learning-Based Type Inference System.	Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust
2023	Optimizing Duplicate Size Thresholds in IDEs.	Konstantin Grotov, Sergey Titov, Alexandr Suhinin, Yaroslav Golubev, Timofey Bryksin
2023	The Atlassian Data Lake: consolidating enriched software development data in a single, queryable system.	Arik Friedman, Rohan Dhupelia, Ben Jackson
2023	Whistleblowing and Tech on Twitter.	Laura Duits, Isha Kashyap, Joey Bekkink, Kousar Aslam, Emitz Guzmn
2023	Semantically-enriched Jira Issue Tracking Data.	Themistoklis Diamantopoulos, Dimitrios-Nikitas Nastos, Andreas L. Symeonidis
2023	Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study.	Tim van Dam, Maliheh Izadi, Arie van Deursen
2023	A Dataset of Bot and Human Activities in GitHub.	Natarajan Chidambaram, Alexandre Decan, Tom Mens
2023	Insights into Female Contributions in Open-Source Projects.	Arifa I. Champa, Md. Fazle Rabbi, Minhaz F. Zibran, Md. Rakibul Islam
2023	Snapshot Testing Dataset.	Emily Bui, Henrique Rocha
2023	SecretBench: A Dataset of Software Secrets.	Setu Kumar Basak, Lorenzo Neil, Bradley Reaves, Laurie A. Williams
2023	Energy Consumption Estimation of API-usage in Smartphone Apps via Static Analysis.	Abdul Ali Bangash, Kalvin Eng, Jamal Qasim, Karim Ali, Abram Hindle
2023	An Empirical Study of High Performance Computing (HPC) Performance Bugs.	Md. Abul Kalam Azad, Nafees Iqbal, Foyzul Hassan, Probir Roy

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