AI RESEARCH
ComBench: A Repo-level Real-world Benchmark for Compilation Error Repair
arXiv CS.AI
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ArXi:2603.27333v1 Announce Type: cross Compilation errors pose pervasive and critical challenges in software development, significantly hindering productivity. Therefore, Automated Compilation Error Repair (ACER) techniques are proposed to mitigate these issues. Despite recent advancements in ACER, its real-world performance remains poorly evaluated. This can be largely attributed to the limitations of existing benchmarks, \ie decontextualized single-file data, lack of authentic source diversity, and biased local task modeling that ignores crucial repository-level complexities.