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 …

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

Manual debugging is notoriously tedious and time consuming. Therefore, various automated
fault localization techniques have been proposed to help with manual debugging. Among …

Manual debugging is notoriously tedious and time-consuming. Therefore, various
automated fault localization techniques have been proposed to help with manual …

In this article, we present a hybrid approach for fault localization (FL). We combine three
different domains of software FL techniques to realize an effective fault localizer. Spectrum …

Researchers have supported the idea of gamification to enhance students' interest in
activities like code reviews, change management, knowledge management, issue tracking …

Manually finding the program unit (eg, class, method, or statement) responsible for a fault is
tedious and time-consuming. To mitigate this problem, many fault localization techniques …

Software failure is inevitable with the increase in scale and complexity of the software.
Existing fault localization techniques based on neural networks take statement coverage …

In this paper, a novel approach, Inforence, is proposed to isolate the suspicious codes that
likely contain faults. Inforence employs a feature selection method, based on mutual …

This paper reviews the evolution of learning-based software fault localization methods,
examining their benefits, challenges, and prospective developments in practical …