Modern product development often generates systems of high complexity that are prone to
emergent behavior. The industry has a need to establish better practices to detect inherent …

The rapid technological revolution of Industry 4.0 has set off rapid advancement in the smart
product development. Testing the smart product's system before release to market is crucial …

Context: Both automated and manual software testing are widely applied in practice. While
being essential for project success and software quality, they are very resource-intensive …

Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic
algorithms to derive a general algorithm for solving optimization problems. This work …

Adequate testing of safety-critical systems is vital to ensure correct functional and non-
functional operations. Previous research has shown that testing such systems requires a lot …

Optimizing software testing process has received much attention over the last few decades.
Test optimization is typically seen as a multi-criteria decision making problem. One aspect of …

Context: Unit testing has been widely regarded as an effective technique to ensure software
quality. Writing unit test cases is time-consuming and requires developers to have abundant …

Test generation is a costly but necessary testing activity to increase the quality of software
projects. Automated testing tools based on evolutionary computation principles constitute an …

The main goal of software testing is to detect as many hidden bugs as possible in the final
software product before release. Generally, a software product is tested by executing a set of …

Abstract Salt Gradient Solar Ponds (SGSPs) are conventionally operated wholly manually.
They hence suffer from a loss of efficiency for substantial durations when disturbed by …