Conference Information
SANER 2026: IEEE International Conference on Software Analysis, Evolution, and Reengineering
https://conf.researchr.org/home/saner-2026
Submission Date:
2025-10-16
Notification Date:
2025-12-09
Conference Date:
2026-03-17
Location:
Limassol, Cyprus
Years:
33
CCF: b   Viewed: 46430   Tracked: 73   Attend: 17

Call For Papers
The Research Track of the 33rd edition of the IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2026) invites high-quality submissions of papers describing original and unpublished research. We encourage submissions describing various types of research, e.g., empirical, theoretical, and tool-oriented work. The topics of the submissions should be of direct interest to the software analysis, evolution, and reengineering community (including researchers, practitioners, educators). Topics of interest include, but are not limited to:

    AI for Software Engineering and Software Engineering for AI (see note below);
    Generative AI and LLM applied to analysis, evolution and reengineering of software;
    Software Analysis, Parsing, and Fact Extraction;
    Software Maintenance and Evolution, Evolution Analysis;
    Software Reverse Engineering and Reengineering;
    Program Comprehension;
    Software Architecture Recovery and Reverse Architecting;
    Program Transformation and Refactoring;
    Mining Software Repositories and Software Analytics;
    Software Visualization;
    Software Reconstruction and Migration;
    Program Repair;
    Software Release Engineering, Continuous Integration and Delivery;
    Software Tools for Software Evolution and Maintenance;
    Human factors and legal aspects in the context of Software Analysis, Evolution and Reengineering
    Empirical studies on all the above topics;
    Education related to all of the above topics;

Papers involving AI must either (a) concern a software system as a whole, or a subsystem, and not simply its AI or ML component, (b) consider software engineering artifacts, (c) target a novel context for a software engineering task, or (d) study human, social, socio-technical, and organizational aspects in the development of AI-intensive software systems (see also “Scoping Software Engineering for AI: The TSE Perspective", 10.1109/TSE.2024.3470368). Other papers may fit more AI- or ML-specialized venues instead.
Last updated by Dou Sun in 2025-06-29
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