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  • 标题:PREDICTION MODELING FOR SOFTWARE MAINTAINABILITY WITH FUZZY LOGIC
  • 本地全文:下载
  • 作者:Ruchi Yadav ; Dr. Anil Kumar ; Deepak goyal
  • 期刊名称:International Journal of Computer Science and Management Studies
  • 电子版ISSN:2231-5268
  • 出版年度:2013
  • 卷号:13
  • 期号:4
  • 出版社:Imperial Foundation
  • 摘要:Some traditional metrics are there to measure the maintainability of software metrics like- line of code, Halstead’s Software Science Metrics and Mc Cabe’s Cyclomatic Complexity. But these metrics are not suitable to measure the maintainability of the software. It is generally seen that maintainability very much depends on the type of Programs. We have tried to show by arguments and by some empirical analysis that widely used traditional metrics may not be appropriate to measure the complexity of the software. The time spent and efforts required for keeping software operational consumes about 40-70% of cost of the entire life cycle This study proposes a four parameters that integrated to measure the software maintainability. This study will evaluate how to reduce the maintenance cost and the efforts by using these parameters. So, we have developed fuzzy based model for measuring the software maintainability.
  • 关键词:Fuzzy Logic; Maintainability; Modeling
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