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https://hdl.handle.net/20.500.13091/4871
Title: | A new approach to developing software projects by assigning teams to projects with interval-valued neutrosophic Z numbers | Authors: | Yel, İ. Baysal, M.E. Sarucan, A. |
Keywords: | And software development life cycle Interval valued neutrosophic Z-number Multi-criteria decision-making Waterfall and agile methodologies Defects Life cycle Linguistics Personnel Sensitivity analysis Software design Agile Methodologies And software development life cycle Interval valued neutrosophic Z-number Interval-valued Multi criteria decision-making Multicriteria decision-making Multicriterion decision makings Software development life-cycle Software project Waterfall and agile methodology Decision making |
Publisher: | Elsevier Ltd | Abstract: | Software 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 Ltd | URI: | https://doi.org/10.1016/j.engappai.2023.106984 https://hdl.handle.net/20.500.13091/4871 |
ISSN: | 0952-1976 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
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