Software testing is an important and critical phase of software development life cycle to find
software faults or defects and then correct those faults. However, testing process is a time …

In software engineering community, defect prediction is one the active domain. For the
software's success, it is essential to reduce the software engineering and data-mining gap …

Number of defects remaining in a system provides an insight into the quality of the system.
Defect detection systems predict defects by using software metrics and data mining …

Abstract Machine Learning (ML) has become a ubiquitous tool for predicting and classifying
data and has found application in several problem domains, including Software …

One of the most active areas of research in the software engineering community is defect
prediction. The gap between data mining and software engineering must be bridged to …

Faults in a module tend to cause failure of the software product. These defective modules in
the software pose considerable risk by increasing the developing cost and decreasing the …

Within Software Engineering, it is essential to build quality software. An obstacle to the after
mentioned are the defects that can be found in any phase of software development. That is …

Data imbalancing is becoming a common problem to tackle in different fields like, defect
prediction, change prediction, oil spills, medical diagnose etc. Various methods have been …

Faulty modules of any software can be problematic in terms of accuracy, hence may
encounter more costly redevelopment efforts in later phases. These problems could be …

This paper discuss different classification methods toward reliability and quality
improvement of software systems by predicting fault-prone module before testing …