--- title: "MSR (A): papers and universities" description: "MSR (IEEE International Working Conference on Mining Software Repositories) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 370 of its papers from 2024–2026 (98 in 2024, 127 in 2025, 145 in 2026). By the countries of the authors' institutions, the most papers come from Canada (97), the United States (96) and Brazil (23)." url: https://scholar4ai.com/proceedings/msr markdown_url: https://scholar4ai.com/proceedings/msr.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "MSR (IEEE International Working Conference on Mining Software Repositories) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 370 of its papers from 2024–2026 (98 in 2024, 127 in 2025, 145 in 2026). (as of 2026-11-02)" data_url: https://scholar4ai.com/data/rankings.json updated: 2026-11-02T12:20:52+09:00 window: 2026-10-04 to 2026-11-02 source: OpenAlex (CC0) --- # MSR: IEEE International Working Conference on Mining Software Repositories — papers and institutions, 2024–2026 Papers of MSR, IEEE International Working Conference on Mining Software Repositories (CORE rank A; field: Software engineering, Data management and data science), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. All conferences: https://scholar4ai.com/proceedings.md ## Key findings - MSR (IEEE International Working Conference on Mining Software Repositories) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 370 of its papers from 2024–2026 (98 in 2024, 127 in 2025, 145 in 2026). - By the countries of the authors' institutions, the most papers come from Canada (97), the United States (96) and Brazil (23). - The institutions with the most papers are Nara Institute of Science and Technology (16), Idaho State University (13) and Concordia University (12). - Its most-cited paper of these years is “DevGPT: Studying Developer-ChatGPT Conversations” (2024), with 56 citations. ## Papers per year *MSR papers per publication year in OpenAlex (–: not in OpenAlex yet)* | Year | Papers | With affiliations | |---|---:|---:| | 2024 | 98 | 98 | | 2025 | 127 | 109 | | 2026 | 145 | 145 | ## Sources *Where OpenAlex lists the papers* | OpenAlex source | Which papers | |---|---| | [S7407088599](https://openalex.org/S7407088599) | The conference's proceedings | ## Who publishes there *Institutions with the most MSR papers, 2024–2026* | # | Institution | Papers | |---:|---|---:| | 1 | Nara Institute of Science and Technology | 16 | | 2 | Idaho State University | 13 | | 3 | Concordia University | 12 | | 4 | [The University of Melbourne](https://scholar4ai.com/institutions/the-university-of-melbourne.md) | 11 | | 5 | École de Technologie Supérieure | 11 | | 6 | University of Calgary | 10 | | 7 | University of Michigan–Flint | 9 | | 8 | University College London | 9 | | 9 | Universidade Federal de Minas Gerais | 8 | | 10 | University of Alberta | 8 | *Countries with the most MSR papers, 2024–2026* | # | Country | Papers | |---:|---|---:| | 1 | Canada | 97 | | 2 | United States | 96 | | 3 | Brazil | 23 | | 4 | Italy | 23 | | 5 | Japan | 22 | | 6 | Netherlands | 21 | | 7 | Germany | 20 | | 8 | Australia | 18 | | 9 | China | 18 | | 10 | France | 15 | *Keywords with the most MSR papers, 2024–2026* | # | Keyword | Papers | |---:|---|---:| | 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 72 | | 2 | open source software | 44 | | 3 | coding agents | 34 | | 4 | AIDev dataset | 31 | | 5 | pull requests | 30 | | 6 | GitHub | 22 | | 7 | ChatGPT | 21 | | 8 | code quality | 21 | | 9 | code review | 18 | | 10 | code generation | 17 | ## Most-cited papers *Most-cited MSR papers of 2024–2026 (citations counted by OpenAlex)* | # | Citations | Title | Published | Authors | |---:|---:|---|---|---| | 1 | 56 | [DevGPT: Studying Developer-ChatGPT Conversations](https://doi.org/10.1145/3643991.3648400) | 2024-04-15 | Tao Xiao, Christoph Treude, Hideaki Hata et al. | | 2 | 55 | [Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code](https://doi.org/10.1109/msr66628.2025.00082) | 2025-04-28 | Jiho Shin, C.J. Tang, Tahmineh Mohati et al. | | 3 | 43 | [Quality Assessment of ChatGPT Generated Code and their Use by Developers](https://doi.org/10.1145/3643991.3645071) | 2024-04-15 | Mohammed Latif Siddiq, Lindsay Roney, Jiahao Zhang et al. | | 4 | 41 | [Can LLMs Replace Manual Annotation of Software Engineering Artifacts?](https://doi.org/10.1109/msr66628.2025.00086) | 2025-04-28 | Toufique Ahmed, Prémkumar Dévanbu, Christoph Treude et al. | | 5 | 38 | [How to refactor this code? An exploratory study on developer-ChatGPT refactoring conversations](https://doi.org/10.1145/3643991.3645081) | 2024-04-15 | Eman Abdullah AlOmar, Anushkrishna Venkatakrishnan, Mohamed Wiem Mkaouer et al. | | 6 | 38 | [Analyzing the Evolution and Maintenance of ML Models on Hugging Face](https://doi.org/10.1145/3643991.3644898) | 2024-04-15 | Joel Castaño, Silverio Martínez‐Fernández, Xavier Franch et al. | | 7 | 36 | [ChatGPT in Action: Analyzing Its Use in Software Development](https://doi.org/10.1145/3643991.3645077) | 2024-04-15 | Arifa Islam Champa, Md Fazle Rabbi, Costain Nachuma et al. | | 8 | 35 | [Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study](https://doi.org/10.1145/3643991.3644918) | 2024-04-15 | Rosalia Tufano, Antonio Mastropaolo, Federica Pepe et al. | | 9 | 34 | [MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representations](https://doi.org/10.1145/3643991.3644886) | 2024-04-15 | Chao Ni, Liyu Shen, Xiaohu Yang et al. | | 10 | 28 | [Leveraging GPT-like LLMs to Automate Issue Labeling](https://doi.org/10.1145/3643991.3644903) | 2024-04-15 | Giuseppe Colavito, Filippo Lanubile, Nicole Novielli et al. | ## Cite this page Scholar4AI. (2026). MSR: IEEE International Working Conference on Mining Software Repositories — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/msr ```bibtex @misc{scholar4ai-proceedings-msr, author = {{Scholar4AI}}, title = {MSR: IEEE International Working Conference on Mining Software Repositories — papers and institutions, 2024–2026}, year = {2026}, howpublished = {\url{https://scholar4ai.com/proceedings/msr}}, urldate = {2026-11-02}, note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).