Learnings/Reflections of Evaluation and Assessment projects in Software EngineeringEASE 2025

Call for Papers

This track invites submissions focusing on the learnings drawn from projects in Software Engineering. This track emphasizes sharing insights gained through successful (or unsuccessful) challenging projects, highlighting experiences that led to new understandings or improvements in research methodologies and practices. We encourage contributions reflecting the learnings from both, successes by overcoming obstacles and unexpected results.

Topics of Interest

We welcome submissions exploring the evaluation and assessment projects in the following themes:

• Software Development
• Software Testing / Quality Assurance
• Security
• DevOps / DevSecOps
• Empirical studies and data collection challenges
• Large-scale and Distributed Systems
• Artificial Intelligence
• IoT and Blockchain
• Human Factors and Cognitive Biases
• Sustainability and Long-Term Maintenance
• Ethical Considerations

Submission Guidelines

We invite submissions conforming to the following guidelines:

• All submissions should follow a page limit of 10 pages, including all figures, tables, appendices, and the bibliography.
• All submissions should be submitted in PDF format through EasyChair for EASE 2025.
• All submissions should use the official ACM Primary Article Template. LaTeX users should use the following options:

\documentclass[sigconf,review,anonymous]{acmart}
\acmConference[EASE 2025]{The 29th International Conference on Evaluation and Assessment in Software Engineering}{17–20 June, 2025}{Istanbul, Türkiye}

• The authors should comply with the SIGSOFT Open Science Policies.
• We will employ a double-anonymous review process. The authors should not include their names or affiliations in submissions. Any online supplements, replication packages, etc., referred to in the work should also be anonymized.

Review Criteria:

All the submissions will be evaluated based on the following criteria:

• Soundness: Rigor in research methods and reflection of challenges faced and learnings gained.
• Significance: Potential impact in the corresponding domain and applicability of the lessons shared.
• Novelty: Originality in addressing challenges or presenting new approaches to evaluation and assessment.
• Verifiability and Transparency: Sufficient detail to support replication or independent verification.
• Presentation: Clarity, organization, and adherence to formatting and language standards.

Conference Attendance Expectation

At least one author of each accepted paper must register and present. The proceedings will be published in the ACM digital library.