Conference Information

FORGE 2026: ACM international conference on AI Foundation Models and Software Engineering

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Submission Date:
2025-11-05
Notification Date:
2026-01-05
Conference Date:
2026-04-12
Location:
Rio de Janeiro, Brazil
Years:
3
Viewed: 2371   Tracked: 0   Attend: 0

Call For Papers

FORGE 2026 (ACM international conference on AI Foundation Models and Software Engineering) is an academic conference held in Rio de Janeiro, Brazil on 2026-04-12. The paper submission deadline is 2025-11-05. Acceptance notifications are sent on 2026-01-05.

The 3rd ACM International Conference on AI Foundation Models and Software Engineering (FORGE 2026) in ICSE 2026 aims to bring researchers, practitioners, and educators from the AI and Software Engineering community to solve the new challenges that we meet in the era of foundation models. Foundation models (e.g., ChatGPT and Llama) have attracted great attention from both academia and industry. In Software Engineering, several studies showed that Large-Language Models (LLMs) achieved remarkable performance in various tasks, including code generation, testing, code review, and program repair. Recently, many LLM-based development tools have been released to improve software development and show great potential, for example, GitHub Copilot and Cursor. FORGE 2026 will be held on Sun 12 - Mon 13 April 2026, in Rio de Janeiro, Brazil. Topic of Interests We solicit submissions describing original and unpublished results of theoretical, empirical, conceptual, and experimental software engineering research related to Software Engineering with Foundation Models. Topics of interest include but are not limited to: FM for Requirement Engineering and Software Design FM for Code Generation/Reuse FM for Software Quality Assurance (e.g., including code review, analysis, testing, and debugging) FM to Support Software Evolution (e.g., refactoring, technical debt management) FM for Software Security and Privacy FM for AIOps FM for Software Supply Chain Management, e.g., FM-based vulnerability identification, software composition analysis LLM Agents for SE tasks, e.g., how to use various FMs (e.g., LangChain) to complete a SE task. Prompt Engineering for Software Development Legal and Human Aspects of using FM Software Engineering for FM (e.g., Testing and verification of FM or FM-based systems) Note that the aforementioned topics may not be limited to FM, but may also refer to new technology based on how AI models evolve.
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