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04 de marzo - 04 de marzo de 2026

Clasificación: A (CORE2023)Offline

IEEE International Working Conference on Mining Software Repositories

Actualizado: 22 days ago
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Resumen General

The 23rd International Conference on Mining Software Repositories (MSR 2026) will be held on April 13-14, 2026, in Rio de Janeiro, Brazil. MSR Technical 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. Evaluation Criteria: We invite both full and short work-in-progress papers. All submissions must be in PDF format and conform, at time of submission, to the IEEE Conference Proceedings Formatting Guidelines. Submissions to the Technical Track can be made via the submission site. The MSR 2026 Technical Track will employ a double-anonymous review process. Thus, no submission may reveal its authors’ identities. Authors’ names must be omitted from the submission. All references to the author’s prior work should be in the third person. By submitting to MSR 2026 authors acknowledge that they conform to the authorship policy of the ACM and the IEEE. At least one author of each paper is expected to register and present the paper at the MSR 2026 conference. All accepted contributions will be published in the electronic proceedings of the conference. Starting 2026, all articles published by ACM will be made Open Access.

Convocatoria

The 23rd International Conference on Mining Software Repositories (MSR 2026) will be held on April 13-14, 2026, in Rio de Janeiro, Brazil. MSR Technical 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. Evaluation Criteria: We invite both full and short work-in-progress papers. All submissions must be in PDF format and conform, at time of submission, to the IEEE Conference Proceedings Formatting Guidelines. Submissions to the Technical Track can be made via the submission site. The MSR 2026 Technical Track will employ a double-anonymous review process. Thus, no submission may reveal its authors’ identities. Authors’ names must be omitted from the submission. All references to the author’s prior work should be in the third person. By submitting to MSR 2026 authors acknowledge that they conform to the authorship policy of the ACM and the IEEE. At least one author of each paper is expected to register and present the paper at the MSR 2026 conference. All accepted contributions will be published in the electronic proceedings of the conference. Starting 2026, all articles published by ACM will be made Open Access.

Fechas Importantes

Fechas del Congreso

Conference Date

4 de marzo de 2026

Anteriormente:
  • 13 de abril de 2026
  • 13 de abril de 2026 - 14 de abril de 2026

Envío

Paper submission

NUEVO

10 de marzo de 2025

Notificación

Notification date

NUEVO

1 de julio de 2026

Versión Final

Camera-ready

NUEVO

1 de junio de 2026

Otras Fechas

(Mining Challenge Proposals) Call for Challenge Papers Published

5 de septiembre de 2025

(Technical Papers) Author Response Period

8 de diciembre de 202511 de diciembre de 2025

Clasificación de la Fuente

Fuente: CORE2023

Clasificación: A

Campo de Investigación: Software engineering, Data management and data science

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