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 |
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container_title | International journal of electrical and computer engineering (Malacca, Malacca) |
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creator | Palak, Palak 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. |
doi_str_mv | 10.11591/ijece.v9i6.pp4898-4903 |
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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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