Software defect prediction is a crucial software project management activity to enhance the
software quality. It aids the development team to forecast about which modules need extra …

Machine learning methods in software engineering are becoming increasingly important as
they can improve quality and testing efficiency by constructing models to predict defects in …

Software defect prediction (SDP) is vital to enhance the software quality with reduced testing
cost. It stresses to put more testing efforts on those modules which are susceptible to defects …

Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …

Software defect prediction refers to the automatic identification of defective parts of software
through machine learning techniques. Ensemble learning has exhibited excellent prediction …

The prediction of software artifacts on defect‐prone (DP) or non‐defect‐prone (NDP) classes
during the testing phase helps minimize software business costs, which is a classification …

Defect prediction in software projects plays a crucial role to reduce quality-based risk and
increase the capability of detecting faulty program modules. Hence, classification …

The process of predicting fault module in software is known as Software Fault Prediction
(SFP) which is important for releasing software versions that are dependent on the …

Fault prediction problem has a crucial role in the software development process because it
contributes to reducing defects and assisting the testing process towards fault-free software …

Software defect prediction (SDP) is the process of predicting defects in software modules, it
identifies the modules that are defective and require extensive testing. Classification …