About us

The 42nd IEEE International Conference on Software Maintenance and Evolution (ICSME 2026) is the premier forum for researchers and practitioners to present and discuss the most recent innovations, trends, experiences, and challenges in software maintenance and evolution.

Important Dates

Fri, Feb 27, 2026

Abstract submission

Fri, Mar 6, 2026

Paper submission

Sun, May 3, 2026

Early Decisions notification

Mon, May 4, 2026

Author response period start

Fri, May 8, 2026

Author response period end

Fri, May 29, 2026

Final notification

Paper Submission

Research Paper Submission Tracks

Change and defect management

Code cloning and provenance

Concept and feature location

Continuous integration/deployment

Empirical studies of software maintenance and evolution

Evolution of non-code artifacts

Evolution and maintenance of AI-based applications

Human factors and social aspects of software maintenance and evolution

Large Language Models for software evolution and maintenance tasks

Maintenance and evolution of model-based methods

Maintenance and evolution of mobile apps

Maintenance and evolution of service-oriented and cloud computing systems

Maintenance and evolution processes

Maintenance versus release process

Mining software repositories

Productivity of software engineers during maintenance and evolution

Release engineering

Reverse engineering and re-engineering

Run-time evolution and dynamic configuration

Software and system comprehension

Software migration and renovation

Software quality assessment

Software refactoring and restructuring

Software testing theory and practice

Source code analysis and manipulation

Technical Debt

Call for Papers Description

The 42nd IEEE International Conference on Software Maintenance and Evolution (ICSME 2026) invites high-quality submissions describing significant and unpublished results related to software maintenance and evolution topics. Submissions must be full papers, follow the two-column IEEE conference proceedings format, and adhere to a double-anonymous review process.