A Delphi based Expert Judgment Techniques applied with Capability Maturity Model Integration to validate the Agile Scrum based MVP Architecture Framework for Android Mobile Application Development
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| Publicado en: | NeuroQuantology vol. 20, no. 16 (2022), p. 1003 |
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| Autor principal: | |
| Publicado: |
NeuroQuantology
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text - PDF |
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| Resumen: | The validation is needed for any new methodological software proposals like architectures/frameworks and applications. It demands several real-life implementations. However the IT industries are afraid to invest the money without the firm guarantee that they will be returned the entire expenditure amount of investment. Accordingly, the industries were using two technicians to pick and use the R&D (Research and Development) software’s. One is the research software models should be applied in real time projects and the second one is the same should be validated through Expert Judgment (EJT) Techniques. Industries may not apply all the research software’s in real time projects because it leads to increase the bugs and defects in the same projects. Hence most of the organizations use the EJT because it provides a less-cost initial validation of particular R&D software’s. The positive comments of Expert Judgments will leads to encourage the software developers and IT industries to pick and use the proposed research software models. Hence, the primary goal of this paper will assess the overall software Quality and outcomes of the Agile Scrum based MVP (Model View Presenter) Architecture Model (ASM-MVP) which is already developed as research software architecture for Android Mobile Application Development. The proposed models are validated through Delphi based Expert Judgment Techniques and the Chronbach’s alpha reliability prediction Method is used to predict the reliability of the proposed model. In this research we can get positive comments from the Expert judgment team and got reliable alpha value. Therefore the already proposed Ag |
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| ISSN: | 1303-5150 |
| DOI: | 10.14704/NQ.2022.20.16.NQ880101 |
| Fuente: | Health & Medical Collection |