Many studies have been conducted to explore the influence of feature selection (FS)
techniques on software defect prediction (SDP) models, with conflicting empirical results and …

Finding defects early in a software system is a crucial task, as it creates adequate time for
fixing such defects using available resources. Strategies such as symmetric testing have …

Feature selection is a technique used to select an optimal feature subset from the original
input features according to a specific criterion. The criterion is often formulated as an …

Software defect prediction can improve its quality and is actively studied during the last
decade. This paper focuses on the improvement of software defect prediction accuracy by …

Given the escalating magnitude and intricacy of software systems, software measurement
data often contains irrelevant and redundant features, resulting in significant resource and …

Abstract Software Defect Prediction (SDP) is an advanced technological method of
predicting software defects in the software development life cycle. Various research works …

Software defect prediction (SDP) plays a crucial role in ensuring the security and quality of
software systems. However, it faces challenges posed by high-dimensional features present …

Automated software defect prediction is an important and fundamental activity in the domain
of software development. However, modern software systems are inherently large and …

Software testing is a vital phase in the software development life cycle. Testing validates a
developed software against the input test cases by identifying the defects present in the …

Software technology is developing rapidly which leads to the growth of various industries.
Now-a-days, software-based applications have been adopted widely for business purposes …