Evaluating Software Project Similarity by using Linguistic Quantifiers Guided Aggregations

@inproceedings{Idri2003EvaluatingSP,
  title={Evaluating Software Project Similarity by using Linguistic Quantifiers Guided Aggregations},
  author={Ali Idri and Alain Abran},
  year={2003}
}
Software projects are often described by linguistic variables such as the experience of programmers and the complexity of modules. Because the existing software projects similarity measures take into account only numerical data, we have proposed a set of measures based on fuzzy logic to evaluate the similarity between two software projects when they are described by linguistic values. In this work, we improve the proposed measures by using linguistic quantifiers such as ‘most’, ‘many’ and ‘few… CONTINUE READING
Highly Cited
This paper has 17 citations. REVIEW CITATIONS
11 Citations
11 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 11 references

A computational approach to fuzzy quantifiers in natural languages

  • L. A. Zadeh
  • Computing and Mathematics with Applications, 9
  • 1983
Highly Influential
5 Excerpts

Fuzzy Constraint Satisfaction for Ecommerce Agents

  • R. R. Yager
  • 7 International Conference on Fuzzy Theory…
  • 2000
1 Excerpt

The Ordered Weighted Averaging Operators: Theory and Applications” Kluwer: Norwell

  • R. R. Yager, J. Kacprzyk
  • MA
  • 1997
1 Excerpt

Similar Papers

Loading similar papers…