Trajectory-Aware Benchmark Subset Selection for Cost-Efficient Software Engineering Agent Regression Testing

Autonomous software engineering agents (SWE-agents) automate coding tasks. Each agent update may require re-running the full benchmark to detect regressions and improvements, at a cost of hundreds of millions of LLM tokens per run, which makes evaluation a bottleneck. One solution is to evaluate onl