SIGMMA: Skill-Based Multi-Agent Generation of Test Cases from Multimodal User Manuals
SIGMMA generates test cases from use cases in two phases. Phase 1 extracts use cases page by page from a PDF user manual with a vision-language model. Phase 2 generates one test case per use case and refines it in a loop between a generator agent and a validator agent until the test case satisfies four criteria: completeness, atomicity, clarity, and traceability. The domain rules of each agent are packaged as SKILL.md files following the Agent Skills standard.
Authors
- Soares Yan
- Hallyson Melo
- Andrés D. Peralta
- André Carvalho
- Bruno Gadelha
- Carvalho Gabriel
- Lima Igor
- Ferreira Nikson
Institutions
- Universidade Federal do Amazonas (BR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-06
- DOI
- https://doi.org/10.5281/zenodo.23187390
- Primary Topic
- Software Testing and Debugging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00