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Approach to Regression Test Selection Based on Complexity Metrics

Name: Approach to Regression Test Selection Based on Complexity Metrics
Brand: Scholars' Press
SKU: 06935701
Price: 1378 CZK
Availability: InStock
Author: Bouchaib Falah
ISBN: 9783639518689

Bouchaib Falah

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 06935701

Nakladatelství Scholars' Press, říjen 2013

This work presents an approach that can reduce the software testing cost by selecting test cases bas... Celý popis

Libristo kód: 06935701

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1 378 Kč

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This work presents an approach that can reduce the software testing cost by selecting test cases based on a spectrum of complexity metrics. A comprehensive taxonomy of product metrics was developed based on two dimensions, the product level and the characteristics of the product. To evaluate these metrics, a tool, which uses these metrics to target test cases, was implemented. To investigate the efficiency of the approach, an experiment was conducted on three applications where a significant number of mutants and a series of a significant number of seeded errors inserted independently by a third party were applied. The experiment shows that the test case selections discover 100% of the errors seeded by the third party and at least 60% of the mutants implemented by the automatic mutation testing tool. For further evaluation, the approach was compared to the boundary value analysis technique. The results of experiments indicate that the approach is highly effective in the detection of the mutants as well as the seeded errors.