Exploring the adoption of the metaverse and chat generative pre-trained transformer: A single-valued neutrosophic Dombi Bonferroni-based method for the selection of software development strategies

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dc.authoridOnden, Ismail/0000-0003-2807-9454
dc.authoridKara, Karahan/0000-0002-1359-0244
dc.authoridONDEN, ABDULLAH/0000-0003-3769-8193
dc.authoridSimic, Vladimir/0000-0001-5709-3744
dc.contributor.authorOnden, Abdullah
dc.contributor.authorKara, Karahan
dc.contributor.authorOnden, Ismail
dc.contributor.authorYalcin, Galip Cihan
dc.contributor.authorSimic, Vladimir
dc.contributor.authorPamucar, Dragan
dc.date.accessioned2025-01-21T16:41:07Z
dc.date.available2025-01-21T16:41:07Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThe contemporary era has witnessed remarkable developments that seek to transform and reshape traditional software development methodologies. Notably, artificial intelligence (AI) supported software development as well as software development in virtual reality environments have gained considerable prominence. This article introduces software development strategies to examine how software developers and companies respond to this transformation. Also, an advanced decision model is developed using the alternative ranking order method accounting for two-step normalization (AROMAN) method and further analyzed with the single-valued neutrosophic set-based AROMAN technique. The single-valued neutrosophic weighted Dombi Bonferroni operator is employed in the analysis process. This research offers two case studies investigating the preferences of developers and managers in software development strategies. The first case study examines the preferences of developers, while the second focuses on the preferences of managers. In both case studies, three fundamental software development methods are presented. These include the traditional developers approach, AI-supported developers approach, and mixed reality and AI-supported developers approach. These methods are ranked based on expert opinions concerning 10 criteria that influence the software development process. In both case studies, output quality is identified as the most influential criterion. From the perspective of software development methods, in both case studies, the mixed reality and AI-supported developers approach is identified as the most effective. Recommendations are provided for developers and managers. The findings also have significant implications for guiding developers and managers in making informed decisions and optimizing software development practices to align with the evolving AI and virtual reality landscape.
dc.identifier.doi10.1016/j.engappai.2024.108378
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.scopus2-s2.0-85189648338
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2024.108378
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24803
dc.identifier.volume133
dc.identifier.wosWOS:001227343900001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofEngineering Applications of Artificial Intelligence
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectVirtual reality; Metaverse; Natural language processing; Single-valued neutrosophic sets; Alternative ranking order method accounting for two-step normalization
dc.titleExploring the adoption of the metaverse and chat generative pre-trained transformer: A single-valued neutrosophic Dombi Bonferroni-based method for the selection of software development strategies
dc.typeArticle

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