Approach to Regression Test Selection Based on Complexity Metrics

Name: Approach to Regression Test Selection Based on Complexity Metrics
Brand: Scholars' Press
SKU: 9783639518689
Price: 325.37 RON
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Autor: Bouchaib Falah

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Editura: Scholars' Press

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

Informații despre carte

Autor

Bouchaib Falah

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2013

Pagini

136

EAN

9783639518689

ISBN

3639518683

Enbook ID

06935701

Editura

Scholars' Press

Greutate

209

Dimensiuni

152 x 229 x 8

Descriere completă

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.

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Approach to Regression Test Selection Based on Complexity Metrics

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