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Application of Ant Colony Optimization Techniques to Predict Software Cost Estimation

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Computer Communication, Networking and Internet Security

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 5))

Abstract

In modern society, machine learning techniques employed to predict Software Cost Estimation viz. Decision Tree, K-Nearest Neighbor, Support Vector Machine, Neural Networks, and Fuzzy Logic and so on. Every technique has contributed good work in the significant field of software cost estimation. The Computational Intelligence techniques also contributed a great extent in standard-alone. Still there is an immense scope to apply optimization techniques. In this paper, we propose Ant colony optimization techniques to predict software cost estimation based on three datasets collected from literature. For each datasets, we performed tenfold cross validation on International Software Benchmarking Standards Group (ISBSG) dataset and threefold cross validation performed on IBM Data Processing Service (IBMDPS) and COCOMO 81 datasets. The method is validated with real datasets using Root Mean Square Error (RMSE).

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Author information

Authors and Affiliations

  1. Computer Science and Engineering, CMR College of Engineering and Technology, Medchal, Hyderabad, India

    V. Venkataiah

  2. Computer Science and Engineering, Keshav Memorial Institute of Technology, Narayanaguda, Hyderabad, India

    Ramakanta Mohanty

  3. Computer Science and Engineering, Rustamji Institute of Technology, Tekanpur, Gwalior, India

    J. S. Pahariya

  4. Computer Science and Engineering, JNTUH College of Engineering, Kukatpally, Hyderabad, India

    M Nagaratna

Authors
  1. V. Venkataiah
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  2. Ramakanta Mohanty
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  3. J. S. Pahariya
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  4. M Nagaratna
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Corresponding author

Correspondence to Ramakanta Mohanty .

Editor information

Editors and Affiliations

  1. Anil Neerukonda Inst. of Tech. & Sci., Prof., Dept. of Computer Sci. & Engg. Anil Neerukonda Inst. of Tech. & Sci., Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Professional Colleges (SRMGPC), Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. CMR Technical Campus, Prof. & Head, Dept. of Comp. Sci. & Engg CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  4. DVR & Dr.HS MIC College of Technology, Professor DVR & Dr.HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, India

    B. Janakiramaiah

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Venkataiah, V., Mohanty, R., Pahariya, J.S., Nagaratna, M. (2017). Application of Ant Colony Optimization Techniques to Predict Software Cost Estimation. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Computer Communication, Networking and Internet Security. Lecture Notes in Networks and Systems, vol 5. Springer, Singapore. https://doi.org/10.1007/978-981-10-3226-4_32

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  • DOI: https://doi.org/10.1007/978-981-10-3226-4_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3225-7

  • Online ISBN: 978-981-10-3226-4

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