Program Repair
4개 벤치마크 · 논문 192편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
AutoCodeRover: Autonomous Program Improvement
Agentless: Demystifying LLM-based Software Engineering Agents
xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval
RepairBench: Leaderboard of Frontier Models for Program Repair
Papers
If It's Not Buggy, Don't Fix It: On the Dynamics of Iterative Bug-fixing with LLMs
Large language models (LLMs) have become ubiquitous in software development, with LLM-based automated program repair tools increasingly used during code review. In this report, we explore the iterative blind use of LLMs …
Program RepairBetter Understanding, Better Fixes? A Study of Hallucination in LLM-based Automated Program Repair
Large language models (LLMs) have significantly advanced automated program repair (APR), yet existing evaluations remain largely result-centric and provide limited insight into hallucination during repair. In APR, halluc…
Program RepairRethinking Automated Program Repair: The Impact of Bug Complexity, Fault Localization, and LLM Cost-efficiency
Background: Software bugs remain a critical challenge in development, necessitating effective Automated Program Repair (APR) techniques. While Large Language Model (LLM)-based APR systems have shown promise, prior studie…
Program RepairHow Do LLMs Read Bug Reports? An Empirical Study of Attention in LLMs for Automated Program Repair
Large Language Model (LLM)-based Automated Program Repair systems are advancing rapidly, yet their performance remains inconsistent. Even when provided with the same contextual information, an LLM may generate a correct …
Program RepairBeyond Fail-to-Pass: Iterative Hardening of Co-Generated Bug Reproduction Tests and Fixes
Large language models (LLMs) have made automated program repair (APR) increasingly practical for real-world bugs, but repairing directly from bug reports remains underconstrained. Bug reproduction tests (BRTs) help close…
Program RepairMulti-Perspective Agentic Program Repair via Code Property Graphs and Temporal Execution Graphs
Large language models (LLMs) have improved automated program repair (APR), but two limitations remain. First, raw execution traces are often too large and repetitive to serve as effective model context. Second, repeated …
Program Repair