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Neural Network and Statistical Modeling of Software Development Effort

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Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

Abstract

Many modeling studies that aimed at providing an accurate relationship between the software project effort (or cost) and the involved cost drivers have been conducted for effective management of software projects. However, the derived models are only applicable for a specific project and its variables. In this chapter, we present the use of back-propagation neural network (NN) to model the software development (SD) effort of 18 SD NASA projects based on six cost drivers. The performance of the NN model was also compared with a multi-regression model and other models available in the literature.

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Acknowledgments

The authors would like to acknowledge the financial support extended by the Faulty of Engineering and Built Environment, University of Johannesburg.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg, South Africa

    Ruchi Shukla

  2. Department of Mechanical Engineering Technology, University of Johannesburg, Johannesburg, South Africa

    Mukul Shukla

  3. Department of Mechanical Engineering, MNNIT, Allahabad, UP, India

    Mukul Shukla

  4. Faulty of Engineering and Built Environment, University of Johannesburg, Johannesburg, South Africa

    Tshilidzi Marwala

Authors
  1. Ruchi Shukla
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  2. Mukul Shukla
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  3. Tshilidzi Marwala
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Corresponding author

Correspondence to Ruchi Shukla .

Editor information

Editors and Affiliations

  1. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    B. V. Babu

  2. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  5. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  6. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Kanad Ray

  7. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Umesh Gupta

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Shukla, R., Shukla, M., Marwala, T. (2014). Neural Network and Statistical Modeling of Software Development Effort. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_21

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  • DOI: https://doi.org/10.1007/978-81-322-1602-5_21

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1601-8

  • Online ISBN: 978-81-322-1602-5

  • eBook Packages: EngineeringEngineering (R0)

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