A Method for Prioritizing Qualitative Scenarios In Evaluating Enterprise Architecture Using Non-Dominated Sorting Genetic Algorithm II
Autor: | Marzieh Eskandari, Akbar Nabiollahi |
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Rok vydání: | 2016 |
Předmět: |
Computer science
Genetic algorithm 0202 electrical engineering electronic engineering information engineering Sorting Enterprise architecture 020206 networking & telecommunications 020201 artificial intelligence & image processing 02 engineering and technology Data mining computer.software_genre computer |
Zdroj: | International Journal of Computer Science and Information Technology. 8:29-38 |
ISSN: | 0975-3826 0975-4660 |
Popis: | In the field of enterprise architecture (EA), qualitative scenarios are used to understand the qualitative characteristics better. In order to reduce the implementation cost, scenarios are prioritized to be able to focus on the higher priority and more important scenarios. There are different methods to evaluate enterprise architecture including architecture Trade-off Analysis Method (ATAM).Prioritizing qualitative scenarios is one of the main phases of this method. Since none of the recent studies meet the prioritizing qualitative scenarios requirements, considering proper prioritizing criteria and reaching an appropriate speed priority, non-dominated sorting genetic algorithms is used in this study (NSGA-II). In addition to previous research standards more criteria were considered in the proposed algorithm, these sets of structures together as gene and in the form of cell array constitute chromosome. The proposed algorithm is evaluated in two case studies in the field of enterprise architecture and architecture software. The results showed the accuracy and the more appropriate speed comparing to the previous works including genetic algorithms. |
Databáze: | OpenAIRE |
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