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MSR 2027: Working Conference on Mining Software Repositories

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截稿日期:
2026-10-20 还有 61 天
通知日期:
2027-01-08
会议日期:
2027-04-26
会议地点:
Dublin, Ireland
届数:
CCF: C   ICORE: A   QUALIS: B1   浏览: 42916   关注: 42   参加: 7

征稿

MSR 2027 (Working Conference on Mining Software Repositories) is a CCF C / ICORE A / QUALIS B1 conference held in Dublin, Ireland on 2027-04-26. The paper submission deadline is 2026-10-20. Acceptance notifications are sent on 2027-01-08.

The Mining Software Repositories (MSR) conference is the premier venue for software analytics research, where software engineering data is analyzed using a combination of data science, machine learning/artificial intelligence, and qualitative methodologies. The goal of the conference is to improve software engineering practices by uncovering interesting and actionable information about software systems and projects using the vast amounts of software data, such as source control systems, defect tracking systems, code review repositories, archived communications between project personnel, question-and-answer sites, CI build servers, and run-time telemetry. Mining this information can help to understand software development and evolution, software users, and runtime behaviour; support the maintenance of software systems; improve software design/reuse; empirically validate novel ideas and techniques; support predictions about software development; and exploit this knowledge in planning future development. The 24th International Mining Software Repositories Conference (MSR 2027) will be held in Dublin, Ireland on April 26-27, 2027. MSR 2027 continues the tradition of bringing together leading researchers and practitioners in the field, along with students and other participants eager to learn about the latest developments in MSR, to discuss the latest advancements, innovations, and insights in mining software repositories. With the abundant data available in modern software development, the conference will serve as an essential platform for the exchange of knowledge and the fostering of collaborations aimed at leveraging data science to address pressing challenges in software engineering. We welcome you to Dublin (Ireland), and are looking forward to discussing the next advances in the field of mining software repositories!
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录用率

平均录用率: 38.2% 5 年间 (2008–2012).

年份提交数录用数录用率(%)
2012862933.7%
2011782633.3%
2010672131.3%
2009652640%
2008422252.4%

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相关期刊

CCF全称影响因子出版商ISSN
CKnowledge-Based Systems7.2Elsevier0950-7051
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CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
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CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174
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CComputer Communications4.3Elsevier0140-3664

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