Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

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. Also as Markdown.

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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)
YearPapersWith affiliations
20249898
2025127109
2026145145

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S7407088599The conference's proceedings

Who publishes there#

Institutions with the most MSR papers, 2024–2026
#InstitutionPapers
1Nara Institute of Science and Technology16
2Idaho State University13
3Concordia University12
4The University of Melbourne11
5École de Technologie Supérieure11
6University of Calgary10
7University of Michigan–Flint9
8University College London9
9Universidade Federal de Minas Gerais8
10University of Alberta8
Countries with the most MSR papers, 2024–2026
#CountryPapers
1Canada97
2United States96
3Brazil23
4Italy23
5Japan22
6Netherlands21
7Germany20
8Australia18
9China18
10France15
Keywords with the most MSR papers, 2024–2026
#KeywordPapers
1large language models72
2open source software44
3coding agents34
4AIDev dataset31
5pull requests30
6GitHub22
7ChatGPT21
8code quality21
9code review18
10code generation17

Most-cited papers#

Most-cited MSR papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
156DevGPT: Studying Developer-ChatGPT Conversations2024-04-15Tao Xiao, Christoph Treude, Hideaki Hata et al.
255Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code2025-04-28Jiho Shin, C.J. Tang, Tahmineh Mohati et al.
343Quality Assessment of ChatGPT Generated Code and their Use by Developers2024-04-15Mohammed Latif Siddiq, Lindsay Roney, Jiahao Zhang et al.
441Can LLMs Replace Manual Annotation of Software Engineering Artifacts?2025-04-28Toufique Ahmed, Prémkumar Dévanbu, Christoph Treude et al.
538How to refactor this code? An exploratory study on developer-ChatGPT refactoring conversations2024-04-15Eman Abdullah AlOmar, Anushkrishna Venkatakrishnan, Mohamed Wiem Mkaouer et al.
638Analyzing the Evolution and Maintenance of ML Models on Hugging Face2024-04-15Joel Castaño, Silverio Martínez‐Fernández, Xavier Franch et al.
736ChatGPT in Action: Analyzing Its Use in Software Development2024-04-15Arifa Islam Champa, Md Fazle Rabbi, Costain Nachuma et al.
835Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study2024-04-15Rosalia Tufano, Antonio Mastropaolo, Federica Pepe et al.
934MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representations2024-04-15Chao Ni, Liyu Shen, Xiaohu Yang et al.
1028Leveraging GPT-like LLMs to Automate Issue Labeling2024-04-15Giuseppe Colavito, Filippo Lanubile, Nicole Novielli et al.

Conferences in the same field#

KDD · WWW · SIGIR · ICSE · VLDB · ICDE · ASE · SIGMOD · ASPLOS · FSE · ISCA · ICDM · PLDI · POPL · CAV · SIGMETRICS · PODS · CIKM · DATE · ECML PKDD · RecSys · ECIR · WSDM · OOPSLA · ICWSM · ISSTA · MODELS · ICDAR · SANER · SIGSPATIAL · ICST · EASE · RE · ICSME · ISWC · TACAS · SDM · ICPC · CGO · ESEM · ISSRE · BPM · CAiSE · ICFP · ICSA · IJCAR · SEAMS · ECOOP · ICDT · ER

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

@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}
}

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