DocumentCode :
2403062
Title :
Evaluating Software Maintainability Using Fuzzy Entropy Theory
Author :
Cai, Lizhi ; Liu, Zhenyu ; Zhang, Juan ; Tong, Weiqin ; Yang, Genxing
Author_Institution :
Shanghai Key Lab. of Comput. Software Evaluating & Testing, Shanghai, China
fYear :
2010
fDate :
18-20 Aug. 2010
Firstpage :
737
Lastpage :
742
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.
Keywords :
entropy; fuzzy set theory; product development; software maintenance; entropy weight; expert weight; fuzzy entropy theory; software maintainability evaluation; software products maintainability; Entropy; ISO standards; Indexes; Information entropy; Software; Software measurement; entropy; evaluation; fuzzy AHP; maintainability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on
Conference_Location :
Yamagata
Print_ISBN :
978-1-4244-8198-9
Type :
conf
DOI :
10.1109/ICIS.2010.35
Filename :
5591007
Link To Document :
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