Learning-based program repair has achieved good results in a recent series of papers. Yet,
we observe that the related work fails to repair some bugs because of a lack of knowledge …

A large body of research efforts have been dedicated to automated software debugging,
including both automated fault localization and program repair. However, existing fault …

Bug repair is a major component of software maintenance, which requires a huge amount of
manpower. Evolutionary computation, particularly genetic programming (GP), is a class of …

Robotics and autonomy systems are becoming increasingly important, moving from
specialised factory domains to increasingly general and consumer-focused applications. As …

Automated program repair (APR) has achieved promising results, especially using neural
networks. Yet, the overwhelming majority of patches produced by APR tools are confined to …

Misuses of library APIs are pervasive and often lead to software crashes and vulnerability
issues. Various static analysis tools have been proposed to detect library API misuses. They …

Mutation testing is one of the most powerful methodologies to evaluate the quality of test
suites, and has also been demonstrated to be effective for various other testing and …

Genetic improvement (GI) improves both functional properties of software, such as bug
repair, and non-functional properties, such as execution time, energy consumption, or …

Search-based automatic program repair has shown promise in reducing the cost of defects
in real-world software. However, to date, such techniques have typically been most …

Proposing a new method for automatically detecting, localising, or repairing software faults
requires a fair, reproducible evaluation of the effectiveness of the method relative to existing …