This article presents a survey on automatic software repair. Automatic software repair
consists of automatically finding a solution to software bugs without human intervention. This …

Security vulnerability repair is a difficult task that is in dire need of automation. Two groups of
techniques have shown promise:(1) large code language models (LLMs) that have been pre …

Debugging software failures is still a painful, time consuming, and expensive process. For
instance, recent studies showed that debugging activities often account for about 50% of the …

Automated program repair (APR) has great potential to reduce bug-fixing effort and many
approaches have been proposed in recent years. APRs are often treated as a search …

In the research of mining software repositories, we need to label a large amount of data to
construct a predictive model. The correctness of the labels will affect the performance of a …

We present Prophet, a novel patch generation system that works with a set of successful
human patches obtained from open-source software repositories to learn a probabilistic …

In this paper, we address the problem of automatic repair of software vulnerabilities with
deep learning. The major problem with data-driven vulnerability repair is that the few …

We analyze reported patches for three existing generate-and-validate patch generation
systems (GenProg, RSRepair, and AE). The basic principle behind generate-and-validate …

Due to the difficulty of repairing defect, many research efforts have been devoted into
automatic defect repair. Given a buggy program that fails some test cases, a typical …

Test-based automatic program repair has attracted a lot of attention in recent years.
However, the test suites in practice are often too weak to guarantee correctness and existing …