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  • 标题:Maintainability assessment for software by using a hybrid fuzzy multi-criteria analysis approach
  • 本地全文:下载
  • 作者:Shivani Kundu ; Kirti Tyagi
  • 期刊名称:Management Science Letters
  • 印刷版ISSN:1923-9335
  • 电子版ISSN:1923-9343
  • 出版年度:2017
  • 卷号:7
  • 期号:6
  • 页码:255-274
  • DOI:10.5267/j.msl.2017.3.005
  • 出版社:Growing Science
  • 摘要:Maintainability plays a fundamental role for achieving success in software system and it is con-sidered as an important quality characteristics. Maintainability may be predicted efficiently by us-ing soft computing techniques as they provide good results. In this paper similarity- based ap-proach is used with the contribution of fuzzy Analytical Hierarchical Process (AHP) and fuzzy technique for order preference by similarity to ideal solution (TOPSIS) at 2-level hierarchy. Here similarity- based approach illustrates the combine approach of fuzzy AHP and fuzzy TOPSIS. This approach is used to provide the rank of software to select the best one for maintainability estimation. Also, several factors are presented that influence the software maintainability. These factors are taken as criterion and three software products are taken as alternatives.
  • 关键词:Maintainability; Maintainability factors; AHP; Multi-criteria fuzzy AHP; Similarity based approach
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