Software testing involves probing into the behavior of software systems to uncover faults.
Most testing activities are complex and costly, so a practical strategy that has been adopted …

The software engineering community is rapidly adopting machine learning for transitioning
modern-day software towards highly intelligent and self-learning systems. However, the …

Continuous Integration (CI) significantly reduces integration problems, speeds up
development time, and shortens release time. However, it also introduces new challenges …

In Continuous Integration (CI), regression testing is constrained by the time between
commits. This demands for careful selection and/or prioritization of test cases within test …

Artificial Intelligence (AI) is making a significant impact in multiple areas like medical,
military, industrial, domestic, law, arts as AI is capable to perform several roles such as …

Software quality assurance, especially in the context of the testing phase, plays a pivotal role
in ensuring the reliability and functionality of software systems. Automation testing is …

Software defect prediction (SDP) plays a significant part in identifying the most defect-prone
modules before software testing and allocating limited testing resources. One of the most …

Context: The software development industry is rapidly adopting machine learning for
transitioning modern day software systems towards highly intelligent and self-learning …

The field of artificial intelligence (AI) is witnessing a recent upsurge in research, tools
development, and deployment of applications. Multiple software companies are shifting their …

Abstract Machine Learning (ML) has been a concern in Software Engineering (SE) over the
past years. However, how to use ML and what it can offer for SE is still subject to debate …