Software Quality Evaluation Model Based on Weighted Mutation Rate Correction Incompletion G1 Combination Weights | Zendy

Chuan-Yang Ruan | Zendy; Jianhui Yang | Zendy

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Software Quality Evaluation Model Based on Weighted Mutation Rate Correction Incompletion G1 Combination Weights

Author(s) -

Chuan-Yang Ruan,

Jianhui Yang

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/541292

Subject(s) - sorting , consistency (knowledge bases) , data mining , software , quality (philosophy) , computer science , software quality , fuzzy logic , measure (data warehouse) , mutation , artificial intelligence , algorithm , software development , philosophy , biochemistry , chemistry , epistemology , gene , programming language

Aiming at the common problems of quality evaluation method, this paper first establishes a fuzzy software quality evaluation model according to the relationship of software quality subcharacteristics and indicators; furthermore, considering the uncertainty and individual deviations of expert judgment results, this paper corrects and tests the consistency of the incomplete information sorting given by the experts and obtains an integration sorting of gathering different expert opinions through the idea of circling modification; at last, this paper proposes the weighted mutation rate which is used to measure the development balance degree and determines weights of evaluation indicators via weighted mutation rate correction incompletion G1 method, which avoids the problem of integration of subjective and objective weights

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