Abstract
Validation of real-life software systems often leads to a large number of tests; which, due to time and cost constraints, cannot exhaustively be run. Therefore, it is essential to prioritize the test cases in accordance with their importance the tester perceives. This paper introduces a model-based approach for ranking tests according to their preference degrees, which are determined indirectly, through event classification. For construction of event groups, Gustafson - Kessel clustering algorithms are used. Prioritizing is performed at different granularity levels in order to justify the effectiveness of the clustering algorithm used. A case study demonstrates and validates the approach.
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Belli, F., Gökçe, N. (2010). Test Prioritization at Different Modeling Levels. In: Kim, Th., Kim, HK., Khan, M.K., Kiumi, A., Fang, Wc., Ślęzak, D. (eds) Advances in Software Engineering. ASEA 2010. Communications in Computer and Information Science, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17578-7_14
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DOI: https://doi.org/10.1007/978-3-642-17578-7_14
Publisher Name: Springer, Berlin, Heidelberg
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