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MSR 2023 : 20th International Conference on Mining Software Repositories

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Conference Series : Mining Software Repositories
 
Link: https://conf.researchr.org/home/msr-2023
 
When May 15, 2023 - May 16, 2023
Where Melbourne, Australia
Submission Deadline TBD
 

Call For Papers

# Call for Papers

The International Conference on Mining Software Repositories (MSR) is the premier conference for data science (DS), machine learning (ML), and artificial intelligence (AI) in software engineering. There are vast amounts of data available in software-related repositories, such as source control systems, defect trackers, code review repositories, app stores, archived communications between project personnel, question-and-answer sites, CI build servers, package registries, and run-time telemetry. The MSR conference invites significant research contributions in which such data play a central role. MSR research track submissions using data from software repositories, either solely or combined with data from other sources, can take many forms, including: studies applying existing DS/ML/AI techniques to better understand the practice of software engineering, software users, and software behavior; empirically-validated applications of existing or novel DS/ML/AI-based techniques to improve software development and support the maintenance of software systems; and cross-cutting concerns around the engineering of DS/ML/AI-enabled software systems.

The 20th International Conference on Mining Software Repositories will be held on May 15-16, 2023, in Melbourne, Australia.

# Evaluation Criteria

We invite both full (maximum 10 pages plus 2 additional pages of references) as well as short (4 pages plus references) papers to the Research Track. Full papers are expected to describe new techniques and/or provide novel research results, should have a high degree of technical rigor, and should be evaluated scientifically. Short papers are expected to discuss controversial issues in the field, or describe interesting or thought-provoking ideas that are not yet fully developed. Submissions will be evaluated according to the following criteria:

- Soundness: The extent to which the paper’s contributions (be it novel approaches, applications of existing techniques to new problems, empirical studies, or otherwise) address its research questions and are supported by rigorous application of appropriate research methods. It is expected that short papers provide narrower contributions, and therefore more limited evaluations, compared to full papers.

- Relevance: The extent to which the paper argues or demonstrates that its contributions help fill an important knowledge gap or help solve an important practical problem in the field of software engineering.

- Novelty: The extent to which the paper’s contributions are sufficiently original with respect to the state of the art or add substantially to the state of the knowledge. Note: This does not in any way discourage well-motivated replication studies.

- Presentation: The extent to which the paper’s rhetorical or logical argumentation is well structured and clear, the contributions are clearly articulated, the figures and tables are legible, and the use of the English language is adequate. All submissions must adhere to the formatting instructions provided below.

- Replicability: The extent to which the paper’s claims can be independently verified through available replication packages and/or sufficient information included in the paper to understand how data was obtained, analyzed, and interpreted, or how a proposed technique works. All submissions are expected to adhere to the Open Science policy below.

# Submission Link

Papers must be submitted through HotCRP: https://msr2023-technical.hotcrp.com

# Important Dates

- Abstract Deadline: January 16, 2023
- Paper Deadline: January 19, 2023
- Author Response Period: February 27 – March 2, 2023
- Author Notification: March 17, 2023
- Camera Ready Deadline: Late March

For further details see: https://conf.researchr.org/track/msr-2023/msr-2023-technical-papers

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