An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …

Context Software defect prediction strives to detect defect-prone software modules by mining
the historical data. Effective prediction enables reasonable testing resource allocation …

Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …

The importance of software testing for quality assurance cannot be over emphasized. The
estimation of quality factors is important for minimizing the cost and improving the …

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 …

Software defect prediction (SDP) plays a vital role in enhancing the quality of software
projects and reducing maintenance-based risks through the ability to detect defective …

Defects are the major problems in the current situation and predicting them is also a difficult
task. Researchers and scientists have developed many software defects prediction …

Software development involves plenty of risks, and errors exist in software modules
represent a major kind of risk. Software defect prediction techniques and tools that identify …

Software fault prediction approaches are much more efficient and effective to detect software
faults compared to software reviews. Machine learning classification algorithms have been …

In the field of early prediction of software defects, various techniques have been developed
such as data mining techniques, machine learning techniques. Still early prediction of …