A New Approach for Grouping Similar Operations Extracted from WSDLs Files using K-Means Algorithm
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 12
Abstract
Grouping similar operations is an effective solution to the various problems, especially those related to research because the services will be classified by joint operations. Searching for a particular operation returns, as a result, all services with this same operation, but also the problems related to the substitution (such as, during a call failure or a malfunction). A list of similar operations is returned to the client. He chooses an operation, based on non-functional criteria. In this work, our goal is to study the functional similarity between operations, and thus constituting groups of similar operations, while benefiting from the K-means algorithm.
Authors and Affiliations
Rekkal Sara, Amrane Fatima, Loukil Lakhdar
Keywords
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- EP ID EP258299
- DOI 10.14569/IJACSA.2017.081212
- Views 125
- Downloads 0
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