Efficient SWE Agent Benchmarking via Trajectory-Aware Evaluation
Evaluating software engineering agents on realistic benchmarks is costly, since each task may require multi-step code exploration, modification, and test execution. Existing efficient evaluation methods select representative subsets to estimate full-benchmark performance, but are largely result-only: they fit historical pass/fail response matrices or static task semantics, discarding how agents solve problems. We propose PTA-IRT, a Privileged Trajectory-Aware Item Response Theory framework that fuses process and outcome signals. Historical execution trajectories supply process-level evidence beyond pass/fail, such as explored context, attempted edits, and solving paths, which PTA-IRT uses...
| Authors | Kefeng Duan, Dewu Zheng, Yanlin Wang et al. |
|---|---|
| Primary category | cs.SE |
| Published | 1 September 2026 |
| Last updated at source | 1 September 2026 |
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