The potentially many software system input combinations make exhaustive testing
practically impossible. To address this issue, combinatorial t-way testing (where t indicates …

Owing to its simplicity and having no control parameters, the Sine Cosine Algorithm (SCA)
has attracted much attention among researchers. Although useful, the SCA algorithm adopts …

Due to different users' requirements, contemporary software has become feature-rich in
terms of input functions (ie, parameters) and selections (ie, values). Exhaustive testing on …

Recently, many meta-heuristic algorithms have been proposed to serve as the basis of a t-
way test generation strategy (where t indicates the interaction strength) including Genetic …

Much of our daily tasks have been computerized by machines and sensors communicating
with each other in real-time. There is a reasonable risk that something could go wrong …

Exhaustive testing is a type of testing that test all possible combination of parameter values
to make sure the product is free from any possible faults and errors. However, employing …

Evolutionary algorithms have been shown to be effective at generating unit test suites
optimised for code coverage. While many aspects of these algorithms have been evaluated …

In the field of software testing, several meta-heuristics algorithms have been successfully
used for finding an optimized t-way test suite (where t refers to covering level). T-way testing …

T-way testing is a sampling strategy that generates a subset of test cases from a pool of
possible tests. Many t-way testing strategies appear in the literature to-date ranging from …

Context To improve the quality and correctness of a software product it is necessary to test
different aspects of the software system. Among different approaches for software testing …