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Aggregating Expert-Driven Causal Maps for Web Effort Estimation

  • Conference paper
Advances in Software Engineering (ASEA 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 117))

Abstract

Reliable Web effort estimation is one of the cornerstones of good Web project management. Hence the need to fully understand which factors affect a project’s outcome and their causal relationships. The aim of this paper is to provide a wider understanding towards the fundamental factors affecting Web effort estimation and their causal relationships via combining six different Web effort estimation causal maps from six independent local Web companies, representing the knowledge elicited from several domain experts. The methodology used to combine these maps extended previous work by adding a mapping scheme to handle complex domains (e.g. effort estimation), and the use of an aggregation process that preserves all the causal relations in the original maps. The resultant map contains 67 factors, and also commonalities amongst Web companies relating to factors and causal relations, thus providing the means to better understand which factors have a causal effect upon Web effort estimation.

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Author information

Authors and Affiliations

  1. Computer Science Department, The University of Auckland, 92019, Auckland, New Zealand

    Simon Baker & Emilia Mendes

Authors
  1. Simon Baker
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  2. Emilia Mendes
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Editor information

Editors and Affiliations

  1. Hannam University, Daejeon, South Korea

    Tai-hoon Kim

  2. Catholic University of Daegu, 330, Hayangup, Kyungsan, Kyungbuk, Korea

    Haeng-Kon Kim

  3. King Saud University, Riyadh, Saudi Arabia

    Muhammad Khurram Khan

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

    Akingbehin Kiumi

  5. National Chiao Tung University, Hsinchu, Taiwan

    Wai-chi Fang

  6. University of Warsaw, and Infobright, Warsaw, Poland

    Dominik Ślęzak

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© 2010 Springer-Verlag Berlin Heidelberg

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Baker, S., Mendes, E. (2010). Aggregating Expert-Driven Causal Maps for Web Effort Estimation. In: Kim, Th., Kim, HK., Khan, M.K., Kiumi, A., Fang, Wc., Ślęzak, D. (eds) Advances in Software Engineering. ASEA 2010. Communications in Computer and Information Science, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17578-7_27

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  • DOI: https://doi.org/10.1007/978-3-642-17578-7_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17577-0

  • Online ISBN: 978-3-642-17578-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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