A New Approach of Software Quality Metrics: Fuzzy Extension Algorithm and Its Application

Abstract

According to the needs and characteristics of software quality comprehensive assessment, the author systematically analyzes the drawback of the loss of a large amount of effective information caused by the calculation of “selecting large or small value” in the fuzzy synthesis evaluation algorithm as well as the defects of distortion among the intermediate data transformation in the processing of multi-level extensive evaluation algorithm. For that reason, this paper combines the two original algorithms and improves their shortcomings. Finally, an innovative software quality fuzzy extension synthesis evaluation method is created. Practice shows that adopting this new method to implement software quality evaluation not only has the advantages of accurate, reliable and practical but also the characteristics of easy to achieve computable and standardized