Automated reliability assessment is essential for systems that entail dynamic adaptation
based on runtime mission-specific requirements. One approach along this direction is to …

Machine Learning approaches are good in solving problems that have less information. In
most cases, the software domain problems characterize as a process of learning that …

Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …

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 …

Software industries strive for software quality improvement by consistent bug prediction, bug
removal and prediction of fault-prone module. This area has attracted researchers due to its …

Machine learning algorithms are increasingly being used in a variety of application domains
including software engineering. While their practical value have been outlined …

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

Software defect prediction is one of the most popular research topics in software
engineering. It aims to predict defect‐prone software modules before defects are discovered …

Automated software defect prediction is an important and fundamental activity in the domain
of software development. However, modern software systems are inherently large and …

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 …