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Proceedings of

5th International Conference On Advances in Computing, Electronics and Electrical Technology CEET 2016

"USING TEXTUAL SIMILARITY FOR TEST SUITE PRIORITIZATION"

IYAD ALAZZAM
DOI
10.15224/978-1-63248-087-3-65
Pages
94 - 96
Authors
1
ISBN
978-1-63248-087-3

Abstract: “Techniques in test suite reduction concentrated on different testing activities in general and regression testing in specific. Regression testing is typically performed after updating or maintaining the software in order to verify that the occurred changes do not incur any problem. Executing all test suites after any modification increases the cost of testing. Thus reduction in test suites resolves this problem by including only relevant test cases. In this paper, a new technique is proposed and presented to reduce the test suite by calculating the similarity between test cases and the source implemented through using Latent Semantic Indexing (LSI) .Moreover the proposed technique is evaluated through calculating the code coverage using EclEmma.”

Keywords: Regression testing, test case, Latent Semantic Indexing (LSI), and test suite prioritization

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