Using Axiomatic Design and Fuzzy Axiomatic Design for Risk Management in Software Development
The software development process is a type of structural approach, also called the software development life cycle, that includes many different steps including planning, requirements analysis, design, implementation, testing, deployment and maintenance, and guides the developer team from start to f...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10756601/ |
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| author | Taner Behcet Kepkep Alptekin Durmusoglu Turkay Dereli |
| author_facet | Taner Behcet Kepkep Alptekin Durmusoglu Turkay Dereli |
| author_sort | Taner Behcet Kepkep |
| collection | DOAJ |
| description | The software development process is a type of structural approach, also called the software development life cycle, that includes many different steps including planning, requirements analysis, design, implementation, testing, deployment and maintenance, and guides the developer team from start to finish, covering the stages to meet the end user’s needs and quality standards. The choice between agile and traditional software development life cycle (SDLC) methods significantly impacts the software development process, and developers must carefully consider which method to use to achieve a high-quality and sustainable end product. There are numerous SDLC models available and project managers and team members often select a model based on past experience rather than logical and rational decision-making process that can result in negative consequences, including software failures and budget overruns. To address these challenges, we chose to compare method selection between traditional and agile software development methodologies using Axiomatic Design (AD). AD provides a systematic and structured approach that takes into account the independence of functional requirements and allows for an explicit and mathematical evaluation of the properties of alternatives in decision problems. Our paper presents an objective and mathematical roadmap for selecting the appropriate SDLC model based on AD principles. |
| format | Article |
| id | doaj-art-08b8ca3ea7974bd89d482ef468093660 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-08b8ca3ea7974bd89d482ef4680936602025-08-20T01:53:36ZengIEEEIEEE Access2169-35362024-01-011217392517393510.1109/ACCESS.2024.350167210756601Using Axiomatic Design and Fuzzy Axiomatic Design for Risk Management in Software DevelopmentTaner Behcet Kepkep0https://orcid.org/0000-0002-9718-8446Alptekin Durmusoglu1https://orcid.org/0000-0001-9800-5747Turkay Dereli2https://orcid.org/0000-0002-2130-5503Department of Industrial Engineering, Engineering Faculty, Gaziantep University, Gaziantep, TürkiyeDepartment of Industrial Engineering, Engineering Faculty, Samsun University, Samsun, TürkiyeOffice of President, Hasan Kalyoncu University, Gaziantep, TürkiyeThe software development process is a type of structural approach, also called the software development life cycle, that includes many different steps including planning, requirements analysis, design, implementation, testing, deployment and maintenance, and guides the developer team from start to finish, covering the stages to meet the end user’s needs and quality standards. The choice between agile and traditional software development life cycle (SDLC) methods significantly impacts the software development process, and developers must carefully consider which method to use to achieve a high-quality and sustainable end product. There are numerous SDLC models available and project managers and team members often select a model based on past experience rather than logical and rational decision-making process that can result in negative consequences, including software failures and budget overruns. To address these challenges, we chose to compare method selection between traditional and agile software development methodologies using Axiomatic Design (AD). AD provides a systematic and structured approach that takes into account the independence of functional requirements and allows for an explicit and mathematical evaluation of the properties of alternatives in decision problems. Our paper presents an objective and mathematical roadmap for selecting the appropriate SDLC model based on AD principles.https://ieeexplore.ieee.org/document/10756601/Axiomatic designdecision makingfuzzinesssoftware development life cycle models |
| spellingShingle | Taner Behcet Kepkep Alptekin Durmusoglu Turkay Dereli Using Axiomatic Design and Fuzzy Axiomatic Design for Risk Management in Software Development IEEE Access Axiomatic design decision making fuzziness software development life cycle models |
| title | Using Axiomatic Design and Fuzzy Axiomatic Design for Risk Management in Software Development |
| title_full | Using Axiomatic Design and Fuzzy Axiomatic Design for Risk Management in Software Development |
| title_fullStr | Using Axiomatic Design and Fuzzy Axiomatic Design for Risk Management in Software Development |
| title_full_unstemmed | Using Axiomatic Design and Fuzzy Axiomatic Design for Risk Management in Software Development |
| title_short | Using Axiomatic Design and Fuzzy Axiomatic Design for Risk Management in Software Development |
| title_sort | using axiomatic design and fuzzy axiomatic design for risk management in software development |
| topic | Axiomatic design decision making fuzziness software development life cycle models |
| url | https://ieeexplore.ieee.org/document/10756601/ |
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