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Is Team Always Right: Producing Risk Aware Effort Estimates in Agile Development

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Perspectives in Business Informatics Research (BIR 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 398))

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Abstract

Agile development methods promote involvement of team members in development effort estimation using expert methods. However, valuable information might be missed out during the consensus seeking procedure and some of judgments are not properly accounted for. This paper proposes a simulation based effort estimation method. The method evaluates a risk of effort underestimation due to misrepresenting the judgments made by individual team members. It does not require additional inputs and is intended as a tool to suggest estimation process improvements if estimation errors are observed. Properties of the method are analyzed in simulation studies and preliminary empirical evidence is gathered.

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Author information

Authors and Affiliations

  1. Institute of Information Technology, Riga Technical University, Kalku 1, Riga, 1658, Latvia

    Jānis Grabis, Vineta Minkēviča, Bohdan Haidabrus & Rolands Popovs

  2. Sumy State University, 2 Rymskogo-Korsakova Street, Sumy, 4007, Ukraine

    Bohdan Haidabrus

Authors
  1. Jānis Grabis
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  2. Vineta Minkēviča
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  3. Bohdan Haidabrus
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  4. Rolands Popovs
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Corresponding author

Correspondence to Jānis Grabis .

Editor information

Editors and Affiliations

  1. Babeș-Bolyai University, Cluj Napoca, Romania

    Robert Andrei Buchmann

  2. University of Camerino, Camerino, Italy

    Andrea Polini

  3. Linköping University, Linköping, Sweden

    Björn Johansson

  4. University of Vienna, Vienna, Austria

    Dimitris Karagiannis

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Grabis, J., Minkēviča, V., Haidabrus, B., Popovs, R. (2020). Is Team Always Right: Producing Risk Aware Effort Estimates in Agile Development. In: Buchmann, R.A., Polini, A., Johansson, B., Karagiannis, D. (eds) Perspectives in Business Informatics Research. BIR 2020. Lecture Notes in Business Information Processing, vol 398. Springer, Cham. https://doi.org/10.1007/978-3-030-61140-8_7

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  • DOI: https://doi.org/10.1007/978-3-030-61140-8_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61139-2

  • Online ISBN: 978-3-030-61140-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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