Anticipating software defects prior to the testing phase proves advantageous for efficient
resource allocation to develop the high-quality software, a necessity for any organization …

Abstract Unsupervised Effort-Aware Defect Prediction (EADP) uses unlabeled data to
construct a model and ranks software modules according to the software feature values. Xu …

Software defect prediction is a crucial area of study focused on enhancing software quality
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …

Software defect detection (SDD) is crucial to ensure the reliability of software systems and
identify defects in classification. One of the key challenges in defect detection is to select …

Artificial Intelligence (AI) has emerged as a cornerstone of modern computer science,
exerting a profound influence on diverse sectors of society. This article offers a …

The Internet of Things (IoT) constitutes the foundation of a deeply interconnected society in
which objects communicate through the Internet. This innovation, coupled with 5G and …

Software defect prediction is one of the most difficult tasks in the IT sector. Continuous
Integration and Continuous Delivery (CI/CD) software defect prediction is used in earlier …

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 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 …

Software defect identification (SDI) is a key part of improving the quality of software projects
and lowering the risks that along with maintenance. It does identify the software defect …