Author_Institution :
Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China
Abstract :
The quality of Software product is crucial, the research of software quality evaluation method, has always been a research hotspot in the area of software, this paper analyzed and studied problems and shortcomings of the existing fuzzy comprehensive evaluation algorithm model, and improved the original fuzzy comprehensive evaluation model in the software evaluation process, and from angle of the fuzzy comprehensive evaluation and closeness degree, in the assessment process, appropriately introduce the best reference collections of software quality evaluation indicators as external factors, and put the whole process into the assessment at every level, to a certain extent, improved the accuracy, stability and reliability of the results of the assessment of software.
Keywords :
fuzzy set theory; software performance evaluation; software quality; fuzzy comprehensive evaluation algorithm model; fuzzy reference pattern; software evaluation process; software product; software quality comprehensive assessment algorithm; Algorithm design and analysis; Application software; Cities and towns; Computer science; Fuzzy sets; Information science; Software algorithms; Software design; Software quality; Software systems; Fuzzy comprehensive evaluation; Software Quality; closeness degree; evaluation indicators;
