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Intelligence-Software Cost Estimation Model for Optimizing Project Management

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Software Engineering Methods in Intelligent Algorithms (CSOC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 984))

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Abstract

With the evolution of pervasive and ubiquitous application, the rise of web-based application as well as its components is quite rising as such applications are used both for development and analysis of the web component by developers. The estimation of software cost is controlled by multiple factors right from human-driven to process driven. Most importantly, some of the factors are never even can be guessed. At present, there are no records of literature to offer a robust cost estimation model to address this problem. Therefore, the proposed system introduces an intellectual model of software cost model that is mainly targets to perform optimization of entire cost estimation modeling by incorporating predictive approach. Powered by deep learning approach, the outcome of the proposed model is found to be cost effective in comparison to existing cost estimation modeling.

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Author information

Authors and Affiliations

  1. Research Scholar VTU, Department of Computer Science and Engineering, Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, India

    Praveen Naik

  2. Department of Information Science and Engineering, RV College of Engineering, Bangalore, India

    Shantharam Nayak

Authors
  1. Praveen Naik
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  2. Shantharam Nayak
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Corresponding author

Correspondence to Praveen Naik .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Naik, P., Nayak, S. (2019). Intelligence-Software Cost Estimation Model for Optimizing Project Management. In: Silhavy, R. (eds) Software Engineering Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 984. Springer, Cham. https://doi.org/10.1007/978-3-030-19807-7_42

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