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International Conference on Evaluation of Novel Approaches to Software Engineering

ENASE 2010: Evaluation of Novel Approaches to Software Engineering pp 74–88Cite as

Prioritization of Stakeholder Value Using Metrics

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 230))

Abstract

Given the reality of resource constraints, software development always involves prioritization to establish what to implement. Iterative and incremental development methods increase the need to support dynamic prioritization to identify high stakeholder value. In this paper we argue that the current prioritization methods fail to appropriately structure the data for stakeholder value. This problem is often compounded by a failure to handle multiple stakeholder viewpoints. We propose an extension to an existing prioritization method, impact estimation, to move towards better capture of explicit stakeholder value and to cater for multiple stakeholders. A key feature is the use of absolute scale data for stakeholder value. We use a small industry case study to evaluate this new approach. Our findings argue that it provides a better basis for supporting priority decision-making over the implementation choices for requirements and designs.

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Author information

Authors and Affiliations

  1. School of Engineering and Information Sciences, Middlesex University, The Burroughs, Hendon, London, NW4 4BT, U.K.

    Lindsey Brodie & Mark Woodman

Authors
  1. Lindsey Brodie
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  2. Mark Woodman
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Editor information

Editors and Affiliations

  1. Department of Computing, Macquarie University, 2109, Sydney, NSW, Australia

    Leszek A. Maciaszek

  2. The Business School, Loughborough University, LE11 3TU, Loughborough, Leicestershire, UK

    Pericles Loucopoulos

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Brodie, L., Woodman, M. (2011). Prioritization of Stakeholder Value Using Metrics. In: Maciaszek, L.A., Loucopoulos, P. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2010. Communications in Computer and Information Science, vol 230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23391-3_6

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  • DOI: https://doi.org/10.1007/978-3-642-23391-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23390-6

  • Online ISBN: 978-3-642-23391-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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