LLM-Based Robustness Testing of Microservice Applications: An Empirical Study
Malformed, missing, or boundary-value inputs in microservice APIs can cascade across dependent services, threatening reliability. Robustness testing systematically exercises such inputs to expose server-side failures, but generating diverse, effective tests remains challenging. Large Language Models can generate such tests from API specifications; however, it is unknown whether different models and prompt strategies produce diverse failure sets or converge on the same failures. We report a controlled experiment applying 7 prompt strategies to 3 open-source LLMs (14B-70B parameters) targeting 2 architecturally distinct microservice systems: one Java monolingual (6 services, 9 failure modes...
| Authors | Hrushitha Goud Tigulla, Marco Vieira |
|---|---|
| Primary category | cs.SE |
| Published | 13 May 2026 |
| Last updated at source | 13 May 2026 |
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