On Ranking Software Reliability Growth Models by Subjective Data Analysis  
Author G. Albeanu


Co-Author(s) G. I. Duda; Fl. Popentiu-Vladicescu


Abstract This paper presents recent approaches in subjective data analysis by soft computing techniques to manage imprecision and uncertainty which appear in software reliability engineering. Firstly, recent approaches like imprecise probabilities, generalized intervals, fuzzy sets and intuitionistic-fuzzy sets are shortly described, and the usage of intuitionistic fuzzy numbers for system reliability computation is shown. Intuitionistic-fuzzy approaches for ranking of the software reliability growth models are proposed and experimental results are given.


Keywords fuzzy sets, intuitionistic fuzzy sets, intuitionistic fuzzy numbers, subjective data analysis
    Article #:  1842
Proceedings of the 18th ISSAT International Conference on Reliability and Quality in Design
July 26-28, 2012 - Boston, Massachusetts, U.S.A.