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An integrated MCDM approach for mobile app cost predictor based on DEMATEL extended with choquet integral

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Abstract

An integral part of developing any mobile app is determining how much time and money will be needed to complete the task. Inaccuracy and imprecision will have serious consequences for the project's timeline and cost. Estimating how much work will go into making an app can be done in a number of ways. The accuracy of the COCOMO II app's effort estimation is very sensitive to the input parameters, which include things like the scope of the project, the coefficients used, and the cost predictors. In this research, author apply a multi-criteria decision-making algorithm Interval valued intuinistic fuzzy Decision Making Trial and Evaluation Laboratory (IVIF-DEMATEL) to determine the relationship between 16 different cost predictors, thereby decreasing the margin of estimating error (MMRE). In this work, author provide the results of an empirical investigation into the relationship between the impact cost predictors in app development methods and the cost predictors, as well as the development in app productivity over time. IVIF-DEMATEL with choquet integral was then used to analyze the mobiles cost predictors and divide them into cause/effect groups. As a first step, a group of experts examine how mobile app cost predictors are linked to each other in terms of direct correlation. Floppy triangle numbers display the findings of the evaluation (TFN). The second step is to translate the linguistic terms into TFN. According to DEMATEL, the cause-effect classifications of cost predictors can be determined. Finally, CMIs in mobile apps are identified as the cost predictors in the cause category. The IVIF-DEMATEL with choquet integral is found to be the most appropriate method for analyzing the interrelationship between DEMATEL variants such as Rough-DEMATEL and Hesitant-DEMATEL.

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Authors and Affiliations

  1. Mahatma Gandhi Institute of Technology, Hyderabad, India

    Mamta Pandey

  2. Medi-Caps University, Indore, India

    Ratnesh Litoriya

  3. Jaypee University of Engineering and Technology, Guna, India

    Prateek Pandey

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  1. Mamta Pandey
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  2. Ratnesh Litoriya
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  3. Prateek Pandey
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Correspondence to Ratnesh Litoriya or Prateek Pandey.

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Pandey, M., Litoriya, R. & Pandey, P. An integrated MCDM approach for mobile app cost predictor based on DEMATEL extended with choquet integral. Multimed Tools Appl 83, 34943–34962 (2024). https://doi.org/10.1007/s11042-023-16856-y

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