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Software Cost Estimation Using Artificial Neural Network

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 584))

Abstract

Cost estimation is something we can call the most challenging task of software project management. Cost estimation is to precisely assess required assets and schedules for software improvement ventures, and it includes a number of things under its wide umbrella, for example, estimation of the effort required, estimation of the size of the software product to be produced, and last but not the least estimating the cost of the project. The overall project life cycle is impacted by the accurate prediction of the software development cost. Lots of models for software cost estimations are proposed by researchers. The COCOMO model makes employments of multilayer feedforward neural system while being actualized and prepared to utilize the perceptron learning algorithm. To test and prepare the system, the COCOMO dataset is actualized. Whatever result is generated from multilayer neural system is then compared with Kaushik [12]. This paper has the goal of creating the quantitative measure not only in the current model but also in our proposed model.

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Acknowledgements

I would like to express my deep gratitude and thanks to Dr Nidhi Mishra, Associate Professor, Department of Computer Engineering, Poornima University, IT Developer Devesh Arora and Prof. Pramod Choudhry for giving me an opportunity to work under his guidance for preparing the paper. Finally thanks to my family members Mr. Gopal Das (Father), Anju Arora (Mother), Abhishek (Brother), Shivani, Neeraj Munjal and my friend Hridya Narang for their constant encouragement and support throughout the research.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Poornima University, Jaipur, India

    Shaina Arora & Nidhi Mishra

Authors
  1. Shaina Arora
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  2. Nidhi Mishra
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Corresponding author

Correspondence to Shaina Arora .

Editor information

Editors and Affiliations

  1. Department of Applied Science and Engineering, IIT Roorkee, Saharanpur, India

    Millie Pant

  2. Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan, Jaipur, Rajasthan, India

    Kanad Ray

  3. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Tarun K. Sharma

  4. Department of Electronics and Communication Engineering, SEEC, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

  5. Surface Characterization Group, NIMS, Nano Characterization Unit, Advanced Key Technologies Division, Tsukuba, Ibaraki, Japan

    Anirban Bandyopadhyay

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Arora, S., Mishra, N. (2018). Software Cost Estimation Using Artificial Neural Network. In: Pant, M., Ray, K., Sharma, T., Rawat, S., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 584. Springer, Singapore. https://doi.org/10.1007/978-981-10-5699-4_6

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  • DOI: https://doi.org/10.1007/978-981-10-5699-4_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5698-7

  • Online ISBN: 978-981-10-5699-4

  • eBook Packages: EngineeringEngineering (R0)

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