Abstract Machine learning (ML) approaches were employed to tackle the software fault
prediction (SFP) issue due to their consistent and rigorous performance. Multilayer …

Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

Fabric defect detection is a crucial step of quality control in textile enterprises. The use of
computer vision inspection technology in the textile industry is key to achieving intelligent …

The process of enhanced oil recovery (EOR) and core flooding involves various challenges
such as preserving cores, configuring experiment setup, scaling from the laboratory to the …

This research aims to provide a solution to the scarcity and fragmentation of industrial data
on die casting aluminum alloys. Quantifying the coupling between die casting process …

As software systems undergo escalating complexity, the identification of bugs and defects
becomes pivotal for ensuring seamless user experiences and averting potentially costly post …

It is crucial to detect high-severity defects, such as memory leaks that can result in system
crashes or severe resource depletion, in order to reduce software development costs and …

The advent of superconducting bulks, due to their compactness and performance, offers new
perspectives and opportunities in many applications and sectors, such as magnetic field …

Defects in software are one of the critical problems in software engineering community
because they provide inaccurate results and negatively affect the quality and reliability of the …