GBQA: A Game Benchmark for Evaluating LLMs as Quality Assurance Engineers
The autonomous discovery of bugs remains a significant challenge in modern software development. Compared to code generation, the complexity of dynamic runtime environments makes bug discovery considerably harder for large language models (LLMs). In this paper, we take game development as a representative domain and introduce the Game Benchmark for Quality Assurance (GBQA), a benchmark containing 30 games and 124 human-verified bugs across three difficulty levels, to evaluate whether LLMs can autonomously detect software bugs. The benchmark is constructed using a multi-agent system that develops games and injects bugs in a scalable manner, with human experts in the loop to ensure correctn...
| Authors | Shufan Jiang, Chios Chen, Zhiyang Chen |
|---|---|
| Primary category | cs.SE |
| Published | 3 April 2026 |
| Last updated at source | 3 April 2026 |
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