Software fault prediction (SFP) aims to improve software quality with a possible minimum
cost and time. Various machine learning models have been proposed in the past for …

The timely release of defect-free software and the optimization of development costs depend
on efficient software bug triaging (SBT) techniques. SBT can also help in managing the vast …

Software defect prediction (SDP) plays a key role in the timely delivery of good quality
software product. In the early development phases, it predicts the error-prone modules …

Abstract Retraction:[Muhammad Shafiq, Fatemah H. Alghamedy, Nasir Jamal, Tahir Kamal,
Yousef Ibrahim Daradkeh, Mohammad Shabaz, Scientific programming using optimized …

Software defect prediction is an important area in software engineering because it helps
developers identify and fix problems before they become costly and hard-to-fix bugs. Early …

Software fault prediction (SFP) refers to the early prediction of fault-prone modules in
software development which are susceptible to faults and incur high development cost. It is …

The method of recognizing faults in a software system is acknowledged as software fault
prediction. Software faults predicted in prior stages help in the management of resources …

Software fault prediction (SFP) plays a vital role into fostering high quality throughout the
software development process. It allows to identify the fault-prone modules in early …

Software Defect Prediction (SDP) involves the early detection of fault-prone modules and
reduces the testing efforts and cost. Support Vector Machine (SVM)-based SDP classifiers …

Software fault prediction (SFP) refers to the early prediction of fault-prone modules in
software development which are susceptible to faults and can incur high development cost …