JUN152027

EASE 2027 - 31st International Conference on Evaluation and Assessment in Software Engineering

by EASE Conference Series

conferenceIn-PersonUpcomingStarts in 10 months

The evidence-based software engineering conference, with dedicated AI for SE, SE for AI and AI Models / Data tracks.

June 15–18, 2027·Vietnam National Convention Center and Hanoi University of Science and Technology·Paid
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THE DAILY BRIEF
JUN152027
EASE 2027 - 31st International Conference on Evaluation and Assessment in Software Engineering

by EASE Conference Series

conferenceIn-Personupcoming

The evidence-based software engineering conference, with dedicated AI for SE, SE for AI and AI Models / Data tracks.

About This Event

EASE 2027, the 31st International Conference on Evaluation and Assessment in Software Engineering, runs 15-18 June 2027 in Hanoi, Vietnam, at the Vietnam National Convention Center and Hanoi University of Science and Technology. EASE is the evidence-based corner of software engineering research: its research call for papers lists 'Artificial Intelligence for Software Engineering' and 'Software Engineering for Artificial Intelligence' as topics of interest alongside data-driven engineering, DevOps and human factors, and the conference carries a dedicated AI Models / Data track. Submissions are double-anonymous, capped at ten pages plus two pages of references, use the ACM Primary Article Template and are handled through EasyChair; proceedings are published by ACM. Eleven tracks run in total, including Industry Papers, Short Papers and Emerging Results, Posters and Vision, Journal First, a Reproducibility and Negative Results track, workshops, tutorials and a Doctoral Symposium.

At a Glance

Date
June 15–18, 2027
Location
Vietnam National Convention Center and Hanoi University of Science and Technology
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
EASE Conference Series
Added
Aug 29, 2026
Updated
Aug 29, 2026

Topics & Focus Areas

Evidence-based software engineeringArtificial intelligence for software engineeringSoftware engineering for artificial intelligenceAI models and datasets in software researchEmpirical evaluation and measurementData-driven software engineeringDevOpsHuman factors in software development

Who Should Attend

  • Engineering leaders measuring developer productivity and tool impact
  • Software engineers adopting AI coding assistants
  • DevOps and platform engineering leads
  • Data and research engineers running internal experiments
  • Software engineering academics and doctoral students
  • Practitioners presenting industrial field studies

Organizer

E

EASE Conference Series

conf.researchr.org/home/ease-2027

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About This Event

EASE 2027, the 31st International Conference on Evaluation and Assessment in Software Engineering, runs 15-18 June 2027 in Hanoi, Vietnam, at the Vietnam National Convention Center and Hanoi University of Science and Technology. EASE is the evidence-based corner of software engineering research: its research call for papers lists 'Artificial Intelligence for Software Engineering' and 'Software Engineering for Artificial Intelligence' as topics of interest alongside data-driven engineering, DevOps and human factors, and the conference carries a dedicated AI Models / Data track. Submissions are double-anonymous, capped at ten pages plus two pages of references, use the ACM Primary Article Template and are handled through EasyChair; proceedings are published by ACM. Eleven tracks run in total, including Industry Papers, Short Papers and Emerging Results, Posters and Vision, Journal First, a Reproducibility and Negative Results track, workshops, tutorials and a Doctoral Symposium.

Key Dates & Deadlines

  • Abstract submission deadline
  • Paper submission deadline
  • Industry track abstract submission deadline
  • Industry track full paper submission deadline
  • Tutorial proposal deadline
  • Posters and Vision submission deadline
  • Doctoral Symposium submission deadline
  • Notification to authors
  • Industry track notification

At a Glance

Date
June 15–18, 2027
Location
Vietnam National Convention Center and Hanoi University of Science and Technology
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
EASE Conference Series
Added
Aug 29, 2026
Updated
Aug 29, 2026

Topics & Focus Areas

Evidence-based software engineeringArtificial intelligence for software engineeringSoftware engineering for artificial intelligenceAI models and datasets in software researchEmpirical evaluation and measurementData-driven software engineeringDevOpsHuman factors in software development

Who Should Attend

  • Engineering leaders measuring developer productivity and tool impact
  • Software engineers adopting AI coding assistants
  • DevOps and platform engineering leads
  • Data and research engineers running internal experiments
  • Software engineering academics and doctoral students
  • Practitioners presenting industrial field studies

Why Attend

Most claims about AI coding tools are vendor benchmarks. EASE exists to test claims like those empirically, which makes it the right room for an engineering leader deciding whether a quoted productivity number survives contact with a real codebase and a real team. The Reproducibility and Negative Results track is unusual and valuable, because it publishes the results that did not hold. A dedicated Industry Papers track with its own deadline means your own measurement work can be presented and reviewed, and the AI Models / Data track covers the datasets and models the field's conclusions actually rest on.

Event Features

  • Research Papers track
  • Short Papers and Emerging Results track
  • Industry Papers track
  • AI Models / Data track
  • Reproducibility and Negative Results track
  • Posters and Vision track
  • Journal First track
  • Doctoral Symposium
  • Workshops programme
  • Tutorials programme
  • Most Influential Paper Awards

What Makes This Unique

  • A dedicated AI Models / Data track sits alongside CFP topics for both 'Artificial Intelligence for Software Engineering' and 'Software Engineering for Artificial Intelligence'
  • Evidence-based by design: a Reproducibility and Negative Results track means findings that failed to replicate get published rather than buried
  • Double-anonymous review with ACM-published proceedings, in a series running since the 1990s
  • A separate Industry Papers track with its own February 2027 deadline, so practitioner measurement work is reviewed on its own terms
  • Held in Hanoi across the Vietnam National Convention Center and Hanoi University of Science and Technology, the series' first Southeast Asian edition in recent years

Industries Represented

TechnologyFinancial servicesTelecommunicationsPublic sectorEducation

Pricing Details

Registration rates for EASE 2027 have not been published yet; only the calls for papers and their deadlines are currently open.

Organizer

E

EASE Conference Series

conf.researchr.org/home/ease-2027

Frequently Asked

When is EASE 2027?
EASE 2027 takes place June 15–18, 2027 in Hanoi, Vietnam.
Where is EASE 2027 held?
EASE 2027 is held in Hanoi, Vietnam. The event format is in-person.
What is the EASE 2027 submission deadline?
The next EASE 2027 deadline is abstract submission deadline on Jan 15, 2027. Remaining dates: Paper submission deadline — Jan 22, 2027; Industry track abstract submission deadline — Feb 22, 2027; Industry track full paper submission deadline — Mar 1, 2027; Tutorial proposal deadline — Mar 1, 2027; Posters and Vision submission deadline — Mar 2, 2027; Doctoral Symposium submission deadline — Mar 8, 2027; Notification to authors — Mar 12, 2027; Industry track notification — Apr 12, 2027.
How much does EASE 2027 cost?
EASE 2027 is paid. Registration rates for EASE 2027 have not been published yet; only the calls for papers and their deadlines are currently open.
Who should attend EASE 2027?
EASE 2027 is aimed at Engineering leaders measuring developer productivity and tool impact, Software engineers adopting AI coding assistants, DevOps and platform engineering leads, Data and research engineers running internal experiments, Software engineering academics and doctoral students, Practitioners presenting industrial field studies.
What topics does EASE 2027 cover?
EASE 2027 covers Evidence-based software engineering, Artificial intelligence for software engineering, Software engineering for artificial intelligence, AI models and datasets in software research, Empirical evaluation and measurement, Data-driven software engineering, DevOps, Human factors in software development.

Sources

This page was written from 4 sources, 1 on domains other than conf.researchr.org.

  1. 1.conf.researchr.orgease 2027vendor
  2. 2.conf.researchr.orgease 2027vendor
  3. 3.conf.researchr.orgease 2027 papersvendor
  4. 4.dblp.orgindex
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