Lizhi Cai, Zhenyu Liu, Juan Zhang, W. Tong, Genxing Yang
{"title":"Evaluating Software Maintainability Using Fuzzy Entropy Theory","authors":"Lizhi Cai, Zhenyu Liu, Juan Zhang, W. Tong, Genxing Yang","doi":"10.1109/ICIS.2010.35","DOIUrl":null,"url":null,"abstract":"With the development of information technology, a large number of software products enter the maintenance phase. The maintainability of software products continues to attract people's attention. This paper proposes a new synthetic maintainability evaluation model basing on fuzzy entropy theory. In the model, the weight of different indexes is calculated by combining the entropy weight and expert weight. The entropy weight can be obtained through measuring the difference of membership degree of the index which reflects the consistency of the expert opinion. The evaluation result is more objective and reasonable. It provides a guideline to design a software product with high maintainability.","PeriodicalId":338038,"journal":{"name":"2010 IEEE/ACIS 9th International Conference on Computer and Information Science","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE/ACIS 9th International Conference on Computer and Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2010.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
With the development of information technology, a large number of software products enter the maintenance phase. The maintainability of software products continues to attract people's attention. This paper proposes a new synthetic maintainability evaluation model basing on fuzzy entropy theory. In the model, the weight of different indexes is calculated by combining the entropy weight and expert weight. The entropy weight can be obtained through measuring the difference of membership degree of the index which reflects the consistency of the expert opinion. The evaluation result is more objective and reasonable. It provides a guideline to design a software product with high maintainability.
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