RESTifAI: LLM-Based Workflow for Reusable REST API Testing
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866914190123335680 |
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| author | Kogler, Leon Ehrhart, Maximilian Dornauer, Benedikt Enoiu, Eduard Paul |
| author_facet | Kogler, Leon Ehrhart, Maximilian Dornauer, Benedikt Enoiu, Eduard Paul |
| contents | With this paper, we introduce RESTifAI, an LLM-driven approach for generating reusable, CI/CD ready REST API tests, following the happy-path approach. Unlike existing tools that often focus primarily on internal server errors, RESTifAI systematically constructs valid test scenarios (happy paths) and derives negative cases to verify both intended functionality (2xx responses) and robustness against invalid inputs or business-rule violations (4xx responses). The results indicate that RESTifAI performs on par with the latest LLM tools, i.e., AutoRestTest and LogiAgent, while addressing limitations related to reusability, oracle complexity, and integration. To support this, we provide common comparative results and demonstrate the tool's applicability in industrial services. For tool demonstration, please refer to https://www.youtube.com/watch?v=2vtQo0T0Lo4. RESTifAI is publicly available at https://github.com/casablancahotelsoftware/RESTifAI. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_08706 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | RESTifAI: LLM-Based Workflow for Reusable REST API Testing Kogler, Leon Ehrhart, Maximilian Dornauer, Benedikt Enoiu, Eduard Paul Software Engineering With this paper, we introduce RESTifAI, an LLM-driven approach for generating reusable, CI/CD ready REST API tests, following the happy-path approach. Unlike existing tools that often focus primarily on internal server errors, RESTifAI systematically constructs valid test scenarios (happy paths) and derives negative cases to verify both intended functionality (2xx responses) and robustness against invalid inputs or business-rule violations (4xx responses). The results indicate that RESTifAI performs on par with the latest LLM tools, i.e., AutoRestTest and LogiAgent, while addressing limitations related to reusability, oracle complexity, and integration. To support this, we provide common comparative results and demonstrate the tool's applicability in industrial services. For tool demonstration, please refer to https://www.youtube.com/watch?v=2vtQo0T0Lo4. RESTifAI is publicly available at https://github.com/casablancahotelsoftware/RESTifAI. |
| title | RESTifAI: LLM-Based Workflow for Reusable REST API Testing |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2512.08706 |