This paper discusses software metrics and their impact on software defect prediction values
in the NASA metric data program (MDP) dataset. The NASA MDP dataset consists of four …

Context: Software defect prediction (SDP) models help in delivering a dependable and a
genuine product to the clients. However, the performance of these models is affected by the …

Abstract Software Defect Prediction (SDP) is one of the important ways of software quality
assurance, which uses the metric data to predict whether software module is defect. The …

The advances in technology has brought about a significant rise in the number of software
being developed and deployed on daily basis. This has brought about more dependencies …

Software defect prediction is crucial used for detecting possible defects in software before
they manifest. While machine learning models have become more prevalent in software …

Predicting faults in software modules can lead to a high quality and more effective software
development process to follow. However, the results of a fault prediction model have to be …

Prediction of software modules into fault-prone (FP) and not-fault-prone (NFP) categories
using software metrics allows prioritization of testing resources to fault-prone modules for …

Context Applications of software have penetrated into every part of human life and have
become significant in versatile areas. A case of negligence could cost a great loss of …

Prior identification of defects in software modules can help testers to allocate limited
resources efficiently. Defect prediction techniques are helpful for this situation because they …