Mobile Phone Maintainability Prediction using MCDM Methodology
Parita Jain1, Puneet Kumar Aggarwal2
1Parita Jain, Department of Computer Science and Engineering, KIET Group of Institutions, (Uttar Pradesh), India.
2Puneet Kumar Aggarwal, Department of Computer Science and Engineering, HMRITM, (Delhi), India.
Manuscript received on 21 November 2019 | Revised Manuscript received on 04 December 2019 | Manuscript Published on 10 December 2019 | PP: 410-415 | Volume-8 Issue-3S2 October 2019 | Retrieval Number: C10781083S219/2019©BEIESP | DOI: 10.35940/ijrte.C1078.1083S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: For software engineering it is essential to build a software that is qualitative from every perspective. As the interest of the clients in mobile applications getting higher and higher day by day, the quality turns out to be a major concern. Ample number of researches shows issues with the maintenance of the applications once they are public. Different studies showed various evaluation methods for estimating maintainability but only few were defined for mobile applications. Also, none of the approaches propounded gives a specified way for evaluating maintainability of these portable applications. The present research work, examines the key idea of maintenance of apps considering 9 vital factors for the estimation of maintainability utilizing an MCDM approach to evaluate the identified factors.
Keywords: Maintainability, Mobile Application, Multi Criteria Decision Making, Software Quality.
Scope of the Article: Regression and Prediction