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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Bibliographic Details
Published in:Journal of reliable intelligent environments Vol. 10; no. 3; pp. 319 - 336
Main Author: Yuen, Kevin Kam Fung
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01.09.2024
Springer Nature B.V
Subjects:
Analytic hierarchy process
Artificial Intelligence
Cloud computing
Computer Science
Decision making
Expected utility
Fuzzy sets
Growth models
Health Informatics
Hierarchies
Methods
Monitoring systems
Original Article
Performance and Reliability
Project management
Quality assessment
Quality control
Simulation and Modeling
Software development
Software engineering
Software Engineering/Programming and Operating Systems
Software quality
Software reliability
User experience
User Interfaces and Human Computer Interaction
Video recorders
Measurement
Operations research
Software reliability
Pairwise comparisons
Software quality
ISSN:2199-4668, 2199-4676
Online Access:Get full text
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Summary: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.
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ISSN:2199-4668
2199-4676
DOI:10.1007/s40860-024-00230-2