Despite being one of the most basic tasks in software development, debugging is still
performed in a mostly manual way, leading to high cost and low performance. To address …

We revisit the performance of template-based APR to build comprehensive knowledge
about the effectiveness of fix patterns, and to highlight the importance of complementary …

Learning-based fault localization has been intensively studied recently. Prior studies have
shown that traditional Learning-to-Rank techniques can help precisely diagnose fault …

Automatically detecting software vulnerabilities is an important problem that has attracted
much attention from the academic research community. However, existing vulnerability …

Software engineering practitioners often spend significant amount of time and effort to
debug. To help practitioners perform this crucial task, hundreds of papers have proposed …

Software fault localization, the act of identifying the locations of faults in a program, is widely
recognized to be one of the most tedious, time consuming, and expensive-yet equally critical …

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 …

The performance of fault localization techniques is critical to their adoption in practice. This
paper reports on an empirical study of a wide range of fault localization techniques on real …

Effective debugging is crucial to producing reliable software. Manual debugging is
becoming prohibitively expensive, especially due to the growing size and complexity of …

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