Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109039
DC Field | Value | Language |
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dc.contributor | Department of Computing | en_US |
dc.creator | Yuen, KKF | en_US |
dc.date.accessioned | 2024-09-16T02:53:25Z | - |
dc.date.available | 2024-09-16T02:53:25Z | - |
dc.identifier.issn | 2199-4668 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/109039 | - |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | © The Author(s) 2024 | en_US |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
dc.rights | The following publication Yuen, K.K.F. Fuzzy cognitive network process for software reliability and quality measurement: comparisons with fuzzy analytic hierarchy process. J Reliable Intell Environ (2024) is available at https://doi.org/10.1007/s40860-024-00230-2. | en_US |
dc.subject | Measurement | en_US |
dc.subject | Operations research | en_US |
dc.subject | Pairwise comparisons | en_US |
dc.subject | Software quality | en_US |
dc.subject | Software reliability | en_US |
dc.title | Fuzzy cognitive network process for software reliability and quality measurement : comparisons with fuzzy analytic hierarchy process | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.doi | 10.1007/s40860-024-00230-2 | en_US |
dcterms.abstract | 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. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of reliable intelligent environments, Latest articles, Published: 03 August 2024, https://doi.org/10.1007/s40860-024-00230-2 | en_US |
dcterms.isPartOf | Journal of reliable intelligent environments | en_US |
dcterms.issued | 2024 | - |
dc.identifier.scopus | 2-s2.0-85199555810 | - |
dc.identifier.eissn | 2199-4676 | en_US |
dc.description.validate | 202409 bcch | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_TA | - |
dc.description.fundingSource | Self-funded | en_US |
dc.description.pubStatus | Early release | en_US |
dc.description.TA | Springer Nature (2024) | en_US |
dc.description.oaCategory | TA | en_US |
Appears in Collections: | Journal/Magazine Article |
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s40860-024-00230-2.pdf | 963.29 kB | Adobe PDF | View/Open |
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