The sine-cosine algorithm (SCA) is a new population-based meta-heuristic algorithm. In
addition to exploiting sine and cosine functions to perform local and global searches (hence …

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 …

This paper presents a study comparing different techniques to achieve minimal test suites in
combinatorial testing. Considering high interaction strength is not without difficulties. When …

Hybrid meta-heuristics algorithms have gained popularity in recent years to solve t-way test
suite generation problems due to better exploration and exploitation capabilities of the …

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 …

Limited resources and tight deadline factor inhibits exhaustive testing. Thus, generation of
optimal test data in an acceptable number is very important to accelerate the overall …

Testing is a very important task to build error free software. As the resources and time to
market is limited for a software product, it is impossible to perform exhaustive test ie, to test …

Software systems nowadays have large configuration spaces. Pairwise test design
technique is found useful by testers to sample only required configuration options of these …

Considering systematic interaction of inputs, 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 …

Pairwise testing significantly reduces testing efforts of contemporary software systems by
efficiently sampling their exorbitant number of parameter configurations. Meta-heuristic …