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Enhanced Intelligent Risk Divination Using Added Quality Attributes Injected ATAM and Design Patterns
N.Sankar Ram, Paul Rodrigues
Pages - 27 - 34     |    Revised - 15-04-2008     |    Published - 30-04-2008
Volume - 2   Issue - 2    |    Publication Date - April 2008  Table of Contents
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ABSTRACT
Architectural Tradeoff Analysis Method is a method for evaluation of architecture-level designs and identifies trade-off points between attributes, facilitates communication between stakeholders. ATAM has got the limitations like not a predictor of quality achievement, not deals more quality attributes, Efficiency always depends on the expertise and potential of stakeholders. In this paper we have proposed a system which uses ATAM to predict the risk analysis, with more possible quality attributes. We have used artificial intelligence to predict the risk of the SA based on the Knowledge base of the Stakeholder Experts.
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1 Kalaivani, R., & Thangaraj, P. (2013). An effective technique to identify a river’s stage through satellite images by means of RBFNN. The Imaging Science Journal, 61(3), 279-291.
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Dr. N.Sankar Ram
Professor - India
sankarramphd@yahoo.com
Dr. Paul Rodrigues
Computer Science and Engineering - India