Recent advancements in technology have emerged the requirements of hardware and
software applications. Along with this technical growth, software industries also have faced …

Context Software defect prediction plays a crucial role in estimating the most defect-prone
components of software, and a large number of studies have pursued improving prediction …

In the past two decades, the dimensionality of datasets involved in machine learning and
data mining applications has increased explosively. Therefore, feature selection has …

Software defect prediction (SDP) is a technique that uses known software features and
defect information to predict target software defects. It helps reduce software development …

The quality compliance has become an aspect of big importance in the development of
software engineering, here the term 'defect metrics' comes in the prevention of errors …

Today's software complexity makes developing defect-free software almost impossible.
Consequently, developing classifiers to classify software modules into defective and non …

A software developer has to deal with a lot of challenging requirements such as cost
prediction, defect prediction, reliability prediction, testing effort prediction, safety prediction …

Cross-project defect prediction (CPDP) has recently become very popular in the field of
software defect prediction. It was generally treated as a binary classification problem or a …

The basic measurements for software quality control and management are the various
project and software metrics collected at various states of a software development life cycle …

Software defect prediction models that use software metrics such as code-level
measurements and defect data to build classification models are useful tools for identifying …