Cosine Similarity Based Clustering For Software Testing Using Prioritization
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
prioritizing the test cases helps to increase the rate of fault detection. The difficulty of ensuring the dependability in the growth of the scale of software and software testing in distributed environment a sufficient software testing technique is not possible. It is often difficult to test a parallel and distributed system in the real world deployment. Hence in this paper, after generating test cases using functional requirements, dependency structure prioritization technique is used to prioritize the test cases based on the functional structure of dependency. A new technique namely cosine similarity based clustering approach is used to group the test cases based on the similarity values to form clusters. Each cluster is distributed in the distributed environment for parallel execution in order to reduce the computation time and to improve the rate of fault detection.
Authors and Affiliations
R. Kanimozhi
Keywords
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