Neural-network model of software quality prediction based on quality attributes

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dc.contributor.authorLebiga, M.
dc.contributor.authorHovorushchenko, T.
dc.contributor.authorKapustian, M.
dc.date.accessioned2022-05-01T14:56:45Z
dc.date.available2022-05-01T14:56:45Z
dc.date.issued2022
dc.description.abstractThe paper proposes a neural-network model of software quality prediction based on quality attributes. The proposed model differs from the known models, because it provides considering the importance of each quality attribute and their interaction within each software quality characteristic. The artificial neural network (ANN) outputs correspond to the values of software quality characteristics (functional suitability, performance efficiency, usability, reliability, compatibility, security, maintainability, portability). The artificial neural network (ANN) outputs make it possible assessing the total impact of quality attributes on software quality characteristics.uk_UA
dc.identifier.citationLebiga M. Neural-network model of software quality prediction based on quality attributes / M. Lebiga, T. Hovorushchenko, M. Kapustian // Computer Systems and Information Technologies. – 2022. – No 1. – P. 69-74.uk_UA
dc.identifier.issn2710-0766
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/11905
dc.language.isoenuk_UA
dc.publisherKhmelnytskyi National Universityuk_UA
dc.subjectsoftwareuk_UA
dc.subjectsoftware qualityuk_UA
dc.subjectsoftware quality attributesuk_UA
dc.subjectsoftware quality characteristicsuk_UA
dc.subjectartificial neural network (ANN)uk_UA
dc.subject.udc004.9:004.05uk_UA
dc.titleNeural-network model of software quality prediction based on quality attributesuk_UA
dc.typeСтаттяuk_UA
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