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 …

Recently, early prediction of software defects using the machine learning techniques has
attracted more attention of researchers due to its importance in producing a successful …

Identifying/removing software defects is time consuming. In ill planned projects, rectifying
defects consumes more time than for code development. Defective module prediction is …

Software defect prediction enhances the quality, efficiency, and effectiveness of time and
expenses for software testing by focusing on defect modules. Software defect prediction …

Predicting the existing defects in software products is one of the considerable issues in
software engineering that contributes a lot toward saving time in software production and …

Software defect prediction has caused widespread concern among software engineering
researchers, which aims to erect a software defect prediction model according to historical …

The healthcare systems are extensively being used with increased focus on safety of
patients. Software engineering for healthcare applications is an emerging research area …

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 is one of the important ways to guarantee the quality of software
systems. Combining various algorithms in machine learning to predict software defects has …

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 …