Requirements are informal and semi-formal descriptions of the expected behavior of a
complex system from the viewpoints of its stakeholders (customers, users, operators …

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 …

Most metaheuristic algorithms, including harmony search (HS), suffer from parameter
selection. Many variants have been developed to cope with this problem and improve …

Recent research evidence indicates that the powerful testing tools, even though generate
test inputs automatically for coverage measures, but not up to satisfaction. These tools …

To achieve acceptable quality and performance of any software product, it is crucial to
assess various software components in the application. There exist various softwaretesting …

Emperor Penguin Optimizer (EPO) is a recently developed population-based meta-heuristic
algorithm that simulates the huddling behavior of emperor penguins. Mixed results have …

A combinatorial testing (CT) is an important technique usually employed in the generation of
test cases. The generation of an optimal sized test case is a non‐deterministic polynomial …

Covering array generation (CAG) is the key research problem in combinatorial testing and is
an NP‐complete problem. With the increasing complexity of software under test and the …

Software testing aims at exploring faults within software in order to ensure it meets all
necessary specifications. Test case design strategies play key role in software testing …

In software product line (SPL), selecting product's features to be tested is an essential issue
to enable the manufactories to release new products earlier than others. Practically, it is …