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Estimating Software Effort Using Neural Network: An Experimental Investigation

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Computational Intelligence in Pattern Recognition

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1120))

Abstract

Software companies develop various softwares at the same time. It is very critical task that is to be managed by project managers. Completion of a project is purely dependent on various parameters such as time, cost and staff. By these parameters, project planning will be done by the project managers. Software effort estimation is a fundamental and emerging aspect for software companies in developing a software. If we estimate the effort properly, it will control the project cost as well as time. This paper is presented by comparing various models such as KNN, SVM, NN, RF and back propagation algorithm using feed forward neural network by using Orange data mining tool. The proposed models are evaluated using COCOMO’81 dataset having 63 projects and Desharnais dataset having 81 projects. Estimation results are evident that the back propagation-based approach is a suitable model as compared to the remaining considered approach.

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Authors and Affiliations

  1. Department of IT, Veer Surendra Sai University of Technology, Burla, 768018, India

    P. Suresh Kumar & H. S. Behera

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  1. P. Suresh Kumar
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  2. H. S. Behera
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Howrah, West Bengal, India

    Asit Kumar Das

  2. Department of Computer Science and Engineering, Aditya Institute of Technology and Management (AITAM), Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  3. Department of Computer Applications, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Bighnaraj Naik

  4. Department of Computer Science and Application, Institute of Engineering and Management (IEM), Kolkata, West Bengal, India

    Soumi Dutta

  5. Faculty of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

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Suresh Kumar, P., Behera, H.S. (2020). Estimating Software Effort Using Neural Network: An Experimental Investigation. In: Das, A., Nayak, J., Naik, B., Dutta, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 1120. Springer, Singapore. https://doi.org/10.1007/978-981-15-2449-3_14

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