Quality Evaluation Model and Algorithm of Software System Based on Fuzzy Closeness Degree

Xinglong Liu

Abstract


The development of software system is a complex system engineering work. The quality of a software system is controlled by multiple factors such as design requirements, industry application background, software system performance, the technological level of software development, markets, and the society. Therefore, we targeted at software system quality evaluation in this paper, and established a fuzzy closeness degree based model and algorithm to evaluate the quality of software system. Specifically speaking, we first extended the conventional ISO / IEC9126 quality model based software system quality evaluation index system into such a version that better applied itself to actual situations of enterprise software system development quality evaluation. Then, by using AHP, we calculated the weights of all evaluation indices involved here. After normalization treatment, we afforded the fuzzy distances and fuzzy closeness degree model, on whose basis the quality of software system was assessed. According to the results of empirical verification, the proposed algorithm and model in this paper are effective and feasible.


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Revista de la Facultad de Ingeniería,

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