Fuzzy cognitive network process for software reliability and quality measurement: comparisons with fuzzy analytic hierarchy process

Software reliability and quality measurement has a long-lasting impact on the final products and user experiences. The analytic hierarchy process (AHP) and its various hybrid models, including fuzzy AHP, have been applied to software reliability and quality measurement in various aspects. Related st...

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Vydáno v:Journal of reliable intelligent environments Ročník 10; číslo 3; s. 319 - 336
Hlavní autor: Yuen, Kevin Kam Fung
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 01.09.2024
Springer Nature B.V
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ISSN:2199-4668, 2199-4676
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Shrnutí:Software reliability and quality measurement has a long-lasting impact on the final products and user experiences. The analytic hierarchy process (AHP) and its various hybrid models, including fuzzy AHP, have been applied to software reliability and quality measurement in various aspects. Related studies indicate that limitations in the paired ratio scales of AHP may lead to misapplications, which most AHP users might not be aware of. To address this issue, the fuzzy cognitive network process (FCNP) is proposed as a promising alternative applied for software reliability and quality measurement. One application based Fuzzy AHP is revisited to demonstrate the feasibility and usability of the FCNP. The paper discusses conversion from the FAHP to the FCNP, examining their reproducibility, comparability, merits, and limitations. The proposed fuzzy CNP method can a valuable tool for software customers, designers, developers, testers, and purchasers, to evaluate the level of software reliability and quality in general applications within intelligent environment.
Bibliografie:ObjectType-Article-1
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ISSN:2199-4668
2199-4676
DOI:10.1007/s40860-024-00230-2