Predicting software reliability in a fuzzy field environment

Document identifier: oai:DiVA.org:ltu-7576
Access full text here:10.1142/S0218539313400019
Keyword: Engineering and Technology, Civil Engineering, Other Civil Engineering, Teknik och teknologier, Samhällsbyggnadsteknik, Annan samhällsbyggnadsteknik, Drift och underhållsteknik, Operation and Maintenance
Publication year: 2013
Relevant Sustainable Development Goals (SDGs):
SDG 9 Industry, innovation and infrastructure
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

The testing-development phase has been carried out in a given control environment. However, the product will be used in different operating environment by different end-users, which is unknown to the developer. The operating environment may range from a very clean one up to a harsh environment. These uncertain operating environments will impact to the reliability and performance of the software which may differ from the testing phase reliability. We consider that the effect of environment on reliability has a fuzzy nature. The fuzzy effects of the field environments can be captured by a unit-free environmental factor. To overcome this problem, the fuzzy probabilistic theory may be used in the processing of stochastic parameters, taking into account their fuzzy nature. The proposed model is based on Weibull distribution. The aim of this paper is to introduce a fuzzy field environment (FFE) reliability model that covers both the testing and operating phases in the development cycle. Illustration examples of the proposed model have been validated on data collected from two industries. © 2013 World Scientific Publishing Company.

Authors

Amir Soleimani  Garmabaki

Luleå tekniska universitet; Drift, underhåll och akustik
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Alireza Ahmadi

Luleå tekniska universitet; Drift, underhåll och akustik
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P.K Kapur

Amity University
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Uday Kumar

Luleå tekniska universitet; Drift, underhåll och akustik
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