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Assessing Quality of Software Service at Selection Time Using Evolutionary Algorithm

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Author(s): T. MADHURI, R. RAJA SEKHAR

Journal: International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
ISSN 2278-1323

Volume: 1;
Issue: 7;
Start page: 164;
Date: 2012;
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Keywords: Evolutionary algorithm | Service Rating Software as a service | Service utility

ABSTRACT
The integration of external software in project development can be challenging and risky, because as the execution quality of the external software and the trustworthiness of the software is unknown during integration time. This is a timely problem. The proposed system has a solution for this. A evolutionary algorithm is devised for service recommendation, providing SaaS (Software as a Service) consumers with best possible choices based on quality. An automated rating model, based on service utility is also defined. The Pareto- ranking is introduced as a selection model. The results reveal that the proposed system is capable of providing the best possible choices for customers.
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