Date of Award

22-2-2024

Document Type

Thesis

School

School of Computing

Programme

Ph.D.-Doctoral of Philosophy

First Advisor

Dr.S.Gopalakrishnan

Keywords

Hybrid PSO Testing, Regression Testing Using IPSO, Testing Using Cuckoo Search, TW GA Testing, Software Testing

Abstract

Regression testing is a black-box testing technique. It is utilized to validate an alteration in code in the software to ensure whether it has affected the present performance of the product. It has also been used to assess the adjusted variants of the product. Moreover, software testing is the most efficient process in Software Development Life Cycle (SLDC).

The study introduces Green cloud computing, incorporating computer resources such as foundations, PCs, application administrations, and information stockpiling. Notably, the research imbibes reliability, dependability, and maintainability as quality meters in the validation process. The goal of the proposed system is to implement Software Regression Testing in less time and at a low cost to transform the quality. The objective of the proposed study is to improve the optimization process, which employs the Cuckoo search algorithm, hybrid PSO, IPSO Algorithm, and TW-GA method.

The study examines regression testing to decrease the time and cost. Considering the regression testing, the proposed study intends to evaluate and discover prevailing secondary studies on software testing quality. It has been proved that the proposed study will enhance fault detection by identifying test cases from the prohibited detection capabilities.

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