The object of software defect prediction (SDP) is to identify defect-prone modules. This is
achieved through constructing prediction models using datasets obtained by mining …

Software defect prediction has been an interest of research era because predicting defects
on early stages improves software quality with reduced cost and effective software …

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 …

At the latest, a lot of studies have been conducted to forecast software flaws and determine if
modules are defective or not, in order to build high-quality software at a low cost before …

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) is a procedure to develop a model that can be utilized by
software practitioners and researchers in the initial phases of the software development life …

Predicting the existing defects in software products is one of the considerable issues in
software engineering that contributes a lot toward saving time in software production and …

Software defect prediction (SDP) is the process of detecting defectprone software modules
before the testing stage. The testing stage in the software development life cycle is …

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 …

Abstract Software Defect Prediction (SDP) is an important method to analyze software
quality and reduce development cost. Data from software life cycle has been widely used to …