APR262027

MSR 2027 — International Conference on Mining Software Repositories

by ACM SIGSOFT / IEEE (co-located with ICSE 2027)

conferenceIn-PersonUpcomingStarts in 9 months

The premier venue for software analytics — mining engineering data with data science and machine learning

April 26–27, 2027·The Convention Centre Dublin (CCD), Ireland·Paid
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THE DAILY BRIEF
APR262027
MSR 2027 — International Conference on Mining Software Repositories

by ACM SIGSOFT / IEEE (co-located with ICSE 2027)

conferenceIn-Personupcoming

The premier venue for software analytics — mining engineering data with data science and machine learning

About This Event

MSR 2027, the International Conference on Mining Software Repositories, runs 26-27 April 2027 at The Convention Centre Dublin, co-located with ICSE 2027 in Dublin, Ireland. MSR is the premier venue for software analytics research, where software engineering data is analysed using a combination of data science, machine learning and artificial intelligence, and qualitative methods. The work presented mines version control systems, defect trackers, code reviews, CI servers and other development data to understand how software is actually built, to support maintenance, and to validate new techniques against real projects rather than toy examples. The 2027 programme runs a Technical Papers track, a Data and Tool Showcase track, an Industry track and the long-running Mining Challenge. Technical paper abstracts are due 20 October 2026, papers 23 October 2026, and acceptance notifications land 8 January 2027.

At a Glance

Date
April 26–27, 2027
Location
The Convention Centre Dublin (CCD), Ireland
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
ACM SIGSOFT / IEEE (co-located with ICSE 2027)
Added
Aug 20, 2026
Updated
Aug 20, 2026

Topics & Focus Areas

Mining software repositoriesSoftware analyticsMachine learning for software engineeringVersion control and commit history analysisDefect tracking and predictionCode review analysisContinuous integration dataEmpirical software engineering

Who Should Attend

  • Software engineering researchers and data scientists
  • Developer productivity and DevEx leads
  • Engineering managers and directors of engineering
  • Platform and DevOps engineering teams
  • Teams building ML models over code and engineering data
  • PhD students in empirical software engineering

Organizer

A

ACM SIGSOFT / IEEE (co-located with ICSE 2027)

conf.researchr.org/series/msr

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About This Event

MSR 2027, the International Conference on Mining Software Repositories, runs 26-27 April 2027 at The Convention Centre Dublin, co-located with ICSE 2027 in Dublin, Ireland. MSR is the premier venue for software analytics research, where software engineering data is analysed using a combination of data science, machine learning and artificial intelligence, and qualitative methods. The work presented mines version control systems, defect trackers, code reviews, CI servers and other development data to understand how software is actually built, to support maintenance, and to validate new techniques against real projects rather than toy examples. The 2027 programme runs a Technical Papers track, a Data and Tool Showcase track, an Industry track and the long-running Mining Challenge. Technical paper abstracts are due 20 October 2026, papers 23 October 2026, and acceptance notifications land 8 January 2027.

Key Dates & Deadlines

  • Technical Papers abstract deadline
  • Technical Papers paper submission deadline
  • Data and Tool Showcase abstract deadline
  • Data and Tool Showcase paper submission deadline
  • Technical Papers early reject notification
  • Industry Track paper submission deadline
  • Data and Tool Showcase acceptance notification
  • Technical Papers acceptance notification

At a Glance

Date
April 26–27, 2027
Location
The Convention Centre Dublin (CCD), Ireland
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
ACM SIGSOFT / IEEE (co-located with ICSE 2027)
Added
Aug 20, 2026
Updated
Aug 20, 2026

Topics & Focus Areas

Mining software repositoriesSoftware analyticsMachine learning for software engineeringVersion control and commit history analysisDefect tracking and predictionCode review analysisContinuous integration dataEmpirical software engineering

Who Should Attend

  • Software engineering researchers and data scientists
  • Developer productivity and DevEx leads
  • Engineering managers and directors of engineering
  • Platform and DevOps engineering teams
  • Teams building ML models over code and engineering data
  • PhD students in empirical software engineering

Why Attend

Every engineering organisation already sits on the data MSR studies — commits, pull requests, code reviews, CI runs, incident and defect history — and almost none of it is used to make decisions. MSR is where the techniques for turning that exhaust into evidence get published and, through the Data and Tool Showcase, released as usable artifacts. For a VP of Engineering or a head of developer productivity, two days here is the fastest way to see which developer-productivity and code-quality metrics actually survive empirical scrutiny, which ML-over-code approaches generalise beyond one company, and what tooling can be adopted rather than rebuilt.

Event Features

  • Technical Papers track
  • Data and Tool Showcase track
  • Industry track
  • Mining Challenge on a shared dataset
  • Co-located with ICSE 2027 at The Convention Centre Dublin
  • Author response period for technical papers (4-8 December 2026)

What Makes This Unique

  • The Mining Challenge puts every team on one shared dataset, so competing techniques are compared on identical data instead of each paper's hand-picked corpus
  • The Data and Tool Showcase track treats datasets and tooling as first-class publishable artifacts, which is why MSR is where reusable engineering datasets tend to originate
  • Explicitly combines data science, machine learning/AI and qualitative methods — findings come with the human context, not just a model score
  • Co-located with ICSE 2027 at The Convention Centre Dublin, so the analytics community and the broader software engineering community are in one venue in one week

Industries Represented

SoftwareTechnologyFinancial Services

Pricing Details

Registration rates for MSR 2027 had not been published as of August 2026; MSR is co-located with ICSE 2027 and registration normally opens through the ICSE 2027 process closer to the April 2027 dates.

Organizer

A

ACM SIGSOFT / IEEE (co-located with ICSE 2027)

conf.researchr.org/series/msr

Frequently Asked

When is MSR 2027?
MSR 2027 takes place April 26–27, 2027 in Dublin, Ireland.
Where is MSR 2027 held?
MSR 2027 is held in Dublin, Ireland. The event format is in-person.
What is the MSR 2027 submission deadline?
The next MSR 2027 deadline is technical papers abstract deadline on Oct 20, 2026. Remaining dates: Technical Papers paper submission deadline — Oct 23, 2026; Data and Tool Showcase abstract deadline — Nov 5, 2026; Data and Tool Showcase paper submission deadline — Nov 10, 2026; Technical Papers early reject notification — Dec 3, 2026; Industry Track paper submission deadline — Dec 18, 2026; Data and Tool Showcase acceptance notification — Jan 5, 2027; Technical Papers acceptance notification — Jan 8, 2027.
How much does MSR 2027 cost?
MSR 2027 is paid. Registration rates for MSR 2027 had not been published as of August 2026; MSR is co-located with ICSE 2027 and registration normally opens through the ICSE 2027 process closer to the April 2027 dates.
Who should attend MSR 2027?
MSR 2027 is aimed at Software engineering researchers and data scientists, Developer productivity and DevEx leads, Engineering managers and directors of engineering, Platform and DevOps engineering teams, Teams building ML models over code and engineering data, PhD students in empirical software engineering.
What topics does MSR 2027 cover?
MSR 2027 covers Mining software repositories, Software analytics, Machine learning for software engineering, Version control and commit history analysis, Defect tracking and prediction, Code review analysis, Continuous integration data, Empirical software engineering.

Sources

This page was written from 3 sources, 2 on domains other than conf.researchr.org.

  1. 1.conf.researchr.orgmsr 2027vendor
  2. 2.myhuiban.com572
  3. 3.se-deadlines.github.iose-deadlines.github.io
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