Towards A Fuzzy Logic Based Measures for Software Projects Similarity

نویسندگان

  • Ali IDRI
  • Alain ABRAN
چکیده

The attribute of similarity of software projects has not been the subject of in-depth studies even tough it is often used when estimating software development effort by analogy. Most of the proposed measures of projects attribute are described by numerical variables (interval, ratio or absolute scale). However, in practice many factors which describe software projects, such as the experience of programmers and the complexity of modules, are measured on the basis of an ordinal scale composed of qualifications such as ‘very low’ and ‘low’. Many of these qualifications (linguistic values in fuzzy logic) of these attributes can also be represented by fuzzy sets. This will enable us to measure the similarity between software projects which are described by linguistic values (ordinal scale). Furthermore, the proposed measures can, of course, be also used when projects are described by numerical values.

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تاریخ انتشار 2000