Genetic improvement (GI) uses automated search to find improved versions of existing
software. We present a comprehensive survey of this nascent field of research with a focus …

Millions of open source projects with numerous bug fixes are available in code repositories.
This proliferation of software development histories can be leveraged to learn how to fix …

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 …

Effective automated program repair techniques have great potential to reduce the costs of
debugging and maintenance. Previously proposed automated program repair (APR) …

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

The field of automated software repair lacks a set of common benchmark problems.
Although benchmark sets are used widely throughout computer science, existing …

Automated program repair has shown promise for reducing the significant manual effort
debugging requires. This paper addresses a deficit of earlier evaluations of automated …

Automated program repair is the problem of automatically fixing bugs in programs in order to
significantly reduce the debugging costs and improve the software quality. To address this …

Automated program repair recently received considerable attentions, and many techniques
on this research area have been proposed. Among them, two genetic-programming-based …

In the field of automated program repair, the redundancy assumption claims large programs
contain the seeds of their own repair. However, most redundancy-based program repair …