In recent years, there is a significant notification focused towards the prediction of software
defect in the field of software engineering. The prediction of software defects assist in …

Feature selection is both important and difficult part in classification technology. It is used to
reduce the dimensionality of dataset and remove unwanted features. In this paper, we are …

Software fault prediction methods are used to predict fault-prone modules in the early stages
of software development. Machine learning techniques are the most common techniques …

The comprehensive models can be used for software quality modelling which involves
prediction of low-quality modules using interpretable rules. Such comprehensive model can …

Software defect prediction has been an important research topic in the software engineering
field, especially to solve the inefficiency and ineffectiveness of existing industrial approach of …

From the start of software development, Software Defect Prediction (SDP) is a significant and
emerging challenge in the field of software engineering. Without an accurate model for …

The process of accurately predicting software defects is highly crucial during the early period
of software development before testing activities begin. A variety of computational methods …

The purpose of software defect prediction is to improve the quality of a software project by
building a predictive model to decide whether a software module is or is not fault prone. In …

The costs of finding and correcting software defects have been the most expensive activity in
software development. The accurate prediction of defect‐prone software modules can help …

Software fault prediction is a crucial task, especially with the rapid improvements in software
technology and increasing complexity of software. As identifying and addressing bugs early …