Recent advances in the domain of software defect prediction (SDP) include the integration of
multiple classification techniques to create an ensemble or hybrid approach. This technique …

Software fault/defect prediction assists software developers to identify faulty constructs, such
as modules or classes, early in the software development life cycle. There are data mining …

This paper provides a comprehensive survey of techniques for testing machine learning
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …

Fuzzing is an effective software testing technique to find bugs. Given the size and complexity
of real-world applications, modern fuzzers tend to be either scalable, but not effective in …

Abstract Context Development and Operations (DevOps) is a methodology that aims to
establish collaboration between programmers and operators to automate the continuous …

Testing involves examining the behaviour of a system in order to discover potential faults.
Given an input for a system, the challenge of distinguishing the corresponding desired …

Test case generation is among the most labour-intensive tasks in software testing. It also has
a strong impact on the effectiveness and efficiency of software testing. For these reasons, it …

Context Software startups are newly created companies with no operating history and fast in
producing cutting-edge technologies. These companies develop software under highly …

Automated testing of Android apps is essential for app users, app developers, and market
maintainer communities alike. Given the widespread adoption of Android and the …

In the past five years there has been a dramatic increase in work on Search-Based Software
Engineering (SBSE), an approach to Software Engineering (SE) in which Search-Based …