Special Issue Home: https://link.springer.com/collections/bcadcgjdjd
Generative models, and mainly large language models, are already widely used tools in real-world software development. They assist with writing code, generating tests, fixing bugs, and more. While these tools are powerful and quite useful, they still struggle with reliability, maintainability, and meeting complex requirements. This is where evolutionary algorithms, and especially genetic programming techniques, can make a decisive contribution. Unlike generative models that primarily rely on learned patterns, evolutionary algorithms offer a search-based approach to systematically explore the solution spaces. By combining the strengths of generative models with the flexibility and robustness of search-based techniques, we could build hybrid systems that produce even better and more reliable results.
The focus of this
special issue is on the integration of generative methods and evolutionary
computation to advance software engineering tasks. It aims to highlight
approaches where evolutionary methods enhance, guide, or refine the output of
generative models to produce better software solutions.
Topics of interest include, but are not limited to:
- Program Synthesis
- Requirements Engineering
- Prompt Engineering / Guided Prompt Search
- Genetic Improvement (functional and non-functional improvement)
- Code Transplantation
- Code Translation
- Automated Refactoring
- Clone Detection and Elimination
- Automated Program Repair
- Test Generation
- Test Suite Improvement
- Code Explanations & Interpretability
- Documentation Generation
- Semantic Code Search
- Human-AI Collaboration Tasks
Key Dates:
- Submission Deadline: 1 December 2025
- Reviews: 1 March 2026
- Revision Deadline: 15 April 2026
- Final Acceptance Notification: 15 May 2026
Links
- Special Issue Collection : https://link.springer.com/collections/bcadcgjdjd
- Journal Home: https://link.springer.com/journal/10710
- Submission Guidelines: https://link.springer.com/journal/10710/submission-guidelines
Guest Editor:
·
Dominik
Sobania, Johannes Gutenberg University, Mainz, Germany (dsobania@uni-mainz.de)
Thematic Area
·
Software
Engineering (Editor, Justyna Petke, University College London, UK)
