Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/4871
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dc.contributor.authorYel, İ.-
dc.contributor.authorBaysal, M.E.-
dc.contributor.authorSarucan, A.-
dc.date.accessioned2023-12-09T06:56:38Z-
dc.date.available2023-12-09T06:56:38Z-
dc.date.issued2023-
dc.identifier.issn0952-1976-
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2023.106984-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/4871-
dc.description.abstractSoftware development projects are becoming increasingly important to achieve successful results in the global digitalization trend that has spread throughout the world at the time of the pandemic. The main software development methodologies (SDM) are waterfall and agile. This study investigates the achievement of success methodology through the evaluation of software development projects, personnel under the scope of SDM's. Software projects require strong human resources to be successful in terms of on-time completion and success. For software projects that include the human component, it is important to make project team SDM assignments more meaningful and accurate. The power of linguistic variables and the use of expert ratings in such assignments have been the focus of this paper. The reason for the strong representativeness is the conversion of linguistic variables to mathematical fuzzification, Interval Valued Neutrosophic Z-Numbers (NZN) are used to determine which SDM should be used first in projects. The results of the NZN are then incorporated into the NZN-Area model. This replaces the distance measurement equation used to rank alternatives with an area calculation. The NZN-Area Model is the new proposed form of the model. The NZN-Area model produced 22% better results in terms of defect numbers and 25% better results in terms of defect resolution time compared to the NZN method. Additionally, a sensitivity analysis was performed by comparing the NZN method and NZN-Area method with real data. The proposed NZN-Area method was found to be more consistent under variable conditions. © 2023 Elsevier Ltden_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAnd software development life cycleen_US
dc.subjectInterval valued neutrosophic Z-numberen_US
dc.subjectMulti-criteria decision-makingen_US
dc.subjectWaterfall and agile methodologiesen_US
dc.subjectDefectsen_US
dc.subjectLife cycleen_US
dc.subjectLinguisticsen_US
dc.subjectPersonnelen_US
dc.subjectSensitivity analysisen_US
dc.subjectSoftware designen_US
dc.subjectAgile Methodologiesen_US
dc.subjectAnd software development life cycleen_US
dc.subjectInterval valued neutrosophic Z-numberen_US
dc.subjectInterval-valueden_US
dc.subjectMulti criteria decision-makingen_US
dc.subjectMulticriteria decision-makingen_US
dc.subjectMulticriterion decision makingsen_US
dc.subjectSoftware development life-cycleen_US
dc.subjectSoftware projecten_US
dc.subjectWaterfall and agile methodologyen_US
dc.subjectDecision makingen_US
dc.titleA new approach to developing software projects by assigning teams to projects with interval-valued neutrosophic Z numbersen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.engappai.2023.106984-
dc.identifier.scopus2-s2.0-85172666381en_US
dc.departmentKTÜNen_US
dc.identifier.volume126en_US
dc.identifier.wosWOS:001095445800001en_US
dc.institutionauthor-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid57210108138-
dc.authorscopusid56007700700-
dc.authorscopusid54405086400-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
crisitem.author.dept02.09. Department of Industrial Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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