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Feature-Based Test Focus Selection Technique Using Classes Connections Weight

Feature-Based Test Focus Selection Technique Using Classes Connections Weight

Iyad Alazzam, Mohammed Akour, Shadi Banitaan, Feras Hanandeh
Copyright: © 2016 |Volume: 7 |Issue: 1 |Pages: 12
ISSN: 1947-9328|EISSN: 1947-9336|EISBN13: 9781466691285|DOI: 10.4018/IJORIS.2016010103
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MLA

Alazzam, Iyad, et al. "Feature-Based Test Focus Selection Technique Using Classes Connections Weight." IJORIS vol.7, no.1 2016: pp.33-44. http://doi.org/10.4018/IJORIS.2016010103

APA

Alazzam, I., Akour, M., Banitaan, S., & Hanandeh, F. (2016). Feature-Based Test Focus Selection Technique Using Classes Connections Weight. International Journal of Operations Research and Information Systems (IJORIS), 7(1), 33-44. http://doi.org/10.4018/IJORIS.2016010103

Chicago

Alazzam, Iyad, et al. "Feature-Based Test Focus Selection Technique Using Classes Connections Weight," International Journal of Operations Research and Information Systems (IJORIS) 7, no.1: 33-44. http://doi.org/10.4018/IJORIS.2016010103

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Abstract

Testing could cost more than fifty percent of all development cost, particularly integration testing consumes around eighty percent of testing cost. Integration testing aims to discover errors in the connections among classes which are collaborate and communicate in order to provide specific services. Though, testing all connections among classes is impractical because of the cost, effort and time constraints. Test focus selection might help testers to concentrate on the main and vital connections among classes which it could be the most error prone ones. The authors proposed approach amalgamates the static and dynamic analysis in order to detect, trace, and weight the connections among classes through method level communications. Their approach harnessed an open source tracing tool (MUTT). The MUTT allows them to return all the methods in all classes that have been called respecting to any specific feature which has triggered by the system user. The experimental results reveal how the proposed approach achieves good mutation testing score on the systems under study.

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