Using Textual Similarity for Test Suite Prioritization

IYAD, ALAZZAM (2016) Using Textual Similarity for Test Suite Prioritization. In: Fifth International Conference On Advances in Computing, Electronics and Electrical Technology - CEET 2016, 12-13 March,2016, Kuala Lumpur, Malaysia.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Regression testing, test case, Latent Semantic Indexing (LSI), and test suite prioritization
Depositing User: Mr. John Steve
Date Deposited: 27 Mar 2019 12:12
Last Modified: 27 Mar 2019 12:12
URI: http://publications.theired.org/id/eprint/1014

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