Software Fault Forecasting (SFF) pertains to timely identifying sections in software projects
that are prone to faults and may result in significant development expenses. Deep learning …

Software fault prediction (SFP) refers to the early prediction of fault-prone modules in
software development which are susceptible to faults and can incur high development cost …

Software fault prediction, which aims to find and fix probable flaws before they appear in real-
world settings, is an essential component of software quality assurance. This article provides …

Context Automatic software fault localization serves as a significant purpose in helping
developers solve bugs efficiently. Existing approaches for software fault localization can be …

Development programs have a crucial and expensive evaluation process to assess the
viability of the end product of software development projects. Manually detecting software …

Abstract Software Fault Prediction (SFP) research has made enormous endeavor to
accurately predict fault proneness of software modules, thus maximize precious software test …

The automatic localization of software faults plays a critical role in assisting software
professionals in fixing problems quickly. Despite various existing models for fault tolerance …

Software engineering discipline contains several prediction approaches such as test effort
prediction, correction cost prediction, fault prediction, reusability prediction, security …

In order to improve software dependability, Software Fault Prediction (SFP) has become an
important research topic in the area of software engineering. To improve program …

Software defect prediction (SDP) methodology could enhance software's reliability through
predicting any suspicious defects in its source code. However, developing defect prediction …