Hybrid swarm and GA based approach for software test case selection

Being a crucial step and deciding factor for software reliability, software testing has evolved a long way and always attracted researchers due to various inherent challenges. The quality of a software application depends on the effectiveness of the testing carried out during development and mainten...

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Veröffentlicht in:International journal of electrical and computer engineering (Malacca, Malacca) Malacca), 2019-12, Vol.9 (6), p.4898
Hauptverfasser: Palak, Palak, Gulia, Preeti
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Gulia, Preeti
description Being a crucial step and deciding factor for software reliability, software testing has evolved a long way and always attracted researchers due to various inherent challenges. The quality of a software application depends on the effectiveness of the testing carried out during development and maintenance phase. Testing is a crucial but time consuming activity that influences the overall cost of software development. Thus a minimal but efficient test suite selection is the need of the hour. This paper presents a hybrid technique based on swarm based search technique and GA (Genetic Algorithm) for selection of promising test cases to reduce the overall development cost and time of the application. We took component based software into consideration as they offer some inherent advantages over traditional software development paradigms.
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subjects Genetic algorithms
Reliability aspects
Software development
Software reliability
Software testing
title Hybrid swarm and GA based approach for software test case selection
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