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Development of Intelligent Effort Estimation Model Based on Fuzzy Logic Using Bayesian Networks

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Software Engineering, Business Continuity, and Education (ASEA 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 257))

Abstract

Accuracy gain in the software estimation is constantly being sought by researchers. On the same time new techniques and methodologies are being employed for getting capability of intelligence and prediction in estimation models. Today the target of estimation research is not only the achievement of accuracy but also fusion of different technologies and introduction of new factors. In this paper we advise improvement in some existing work by introducing mechanism of gaining accuracy. The paper focuses on method for tuning the fuzziness function and fuzziness value. This document proposes a research for development of intelligent Bayesian Network which can be used independently to calculate the estimated effort for software development, uncertainty, fuzziness and effort estimation. The comparison of relative error and magnitude relative error bias helps the selection of parameters of fuzzy function; however the process can be repeated n-times to get suitable accuracy. We also present an example of fuzzy set development for ISBSG data set in order to elaborate working of proposed system.

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Author information

Authors and Affiliations

  1. Department of Computer Science and IT, Sarhad University of Science and Information Technology, Peshawar, 25000, Pakistan

    Jahangir Khan & Abou Bakar Nauman

  2. Department of Computer Science, FAST-National university of Computer and Emerging Sciences, Karachi, Pakistan

    Zubair A. Shaikh

Authors
  1. Jahangir Khan
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  2. Zubair A. Shaikh
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  3. Abou Bakar Nauman
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Catholic University of Daegu, South Korea

    Haeng-kon Kim

  4. Dept. of Computer Engineering, Mokwon University, 800, Doan-dong, Seo-gu, 302-729, Daejeon, Korea

    Heau-jo Kang

  5. Woosuk University, 565-701, Jeollabuk-do, Korea

    Kyung Jung Kim

  6. University of Michigan-Dearborn, Dearborn, MI, USA

    Akingbehin Kiumi

  7. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

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© 2011 Springer-Verlag Berlin Heidelberg

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Khan, J., Shaikh, Z.A., Nauman, A.B. (2011). Development of Intelligent Effort Estimation Model Based on Fuzzy Logic Using Bayesian Networks. In: Kim, Th., et al. Software Engineering, Business Continuity, and Education. ASEA 2011. Communications in Computer and Information Science, vol 257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27207-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-27207-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27206-6

  • Online ISBN: 978-3-642-27207-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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