Kamal Z. Zamli

TL;DR: This paper elaborates the design, implementation, and evaluation of a novel variable-strength-based on harmony search algorithm, called Harmony Search Strategy (HSS), which tends to outperform the pure computational-based strategies in terms of test size.

TL;DR: This review discusses the recent innovative technologies developed for the visually impaired to aid them in walking with their merits and demerits and draws a schema for upcoming development in the field of sensors, computer vision, and smartphone-based walking assistants.

TL;DR: This paper proposes a novel hybrid t-way test generation strategy (where t indicates interaction strength), called High Level Hyper-Heuristic (HHH), which leverages on the strength of four low level meta-heuristics, comprising of Teaching Learning based Optimization, Global Neighborhood Algorithm, Particle Swarmoptimization, and Cuckoo Search Algorithm.

TL;DR: Comparative results indicate that VS-PSTG gives competitive results as compared to existing strategies, and adopts Particle Swarm Optimization to ensure optimal test size reduction.

TL;DR: The effectiveness of the proposed Particle Swarm-based t-way Test Generator (PSTG) for generating uniform and variable strength covering arrays and the usefulness of PSTG for facilitating fault detection owing to interactions of the input components is demonstrated.