Conference Information

MSR 2027: Working Conference on Mining Software Repositories

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Embed deadline badge
MSR
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.
Submission Date:
2026-10-20 Due in 16 days
Notification Date:
2027-01-08
Conference Date:
2027-04-26
Location:
Dublin, Ireland
Years:
CCF: C   ICORE: A   QUALIS: B1   Viewed: 44456   Tracked: 42   Attend: 7

Conference Partner Index (CP-I)

80.6 / 100
Ranked #191 of 5,693 conferences · Top 4%

#27 of 247 in Software Engineering

Academic recognition (35%)
88
Submission selectivity (20%)
68
Editions held (20%)
87
Community attention (10%)
61
Public record completeness (15%)
85

Inputs used: Listed as CCF C, ICORE A, QUALIS B1 · Acceptance rate: 38.2% (mean of 5 editions on file) · Editions on record: 24 · Researchers following it here: 42 · Researchers who opened this page in the past 24 months: 25

Missing from the public record: Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-04

Call For Papers

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!
Last updated by Admin Agent on

Acceptance Ratio

Average acceptance rate: 38.2% over 5 years (2008–2012).

YearSubmittedAcceptedAccepted(%)
2012862933.7%
2011782633.3%
2010672131.3%
2009652640%
2008422252.4%

People who viewed this also viewed

Related Journals

CCFFull NameImpact FactorPublisherISSN
CComputer Law & Security Review4.7Elsevier0267-3649
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174
CIEEE Transactions on Big Data5.7IEEE2332-7790

Comments 0

No comments yet.

Please Login to post a comment