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On Ranking Software Reliability Growth Models by Subjective Data Analysis

Domenii publicaţii > Stiinte ingineresti + Tipuri publicaţii > Articol în volumul unei conferinţe

Autori: G. Albeanu, G. I. Duda, Fl. Popentiu-Vladicescu

Editorial: H. Pham, Proceedings of the 18thISSAT International Conference on Reliability and Quality in Design , 18th ISSAT RQD, July 26-28, 2012, Hyatt Harborside, Boston, MA, USA, 2012.

Rezumat:

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.

Cuvinte cheie: fuzzy sets, intuitionistic fuzzy sets, intuitionistic fuzzy numbers, subjective data analysis // fuzzy sets, intuitionistic fuzzy sets, intuitionistic fuzzy numbers, subjective data analysis

URL: http://www.issatconferences.org/