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Strategies for Scheduling Risk Mitigation in Software Project Management

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Software Technologies (ICSOFT 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 457))

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Abstract

The adoption of risk management practices can help to increase the success rate of software project. As an essential process of risk management, risk mitigation aims to reduce or eliminate risks. To make the best use of resources, a scheduling strategy for risk mitigation is needed to determine the risks to be mitigated and when to mitigate them. Both PMI risk management framework and IEEE standard for software project risk management point out that time elements should be considered in risk mitigation. However, the traditionally used strategy for scheduling risk mitigation does not consider time elements. In this paper, we formally define scheduling strategy for risk mitigation, identify new scheduling strategies with due consideration of time elements, and compare their performance by applying stochastic simulation.

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Acknowledgements

This research is partly supported by Hong Kong Polytechnic University grant G-YK27.

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Authors and Affiliations

  1. School of Computer, Dongguan University of Technology, Dongguan, China

    Peng Zhou

  2. Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

    Hareton K. N. Leung

Authors
  1. Peng Zhou
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  2. Hareton K. N. Leung
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Corresponding author

Correspondence to Hareton K. N. Leung .

Editor information

Editors and Affiliations

  1. Polytechnic Institute of Setúbal, Setúbal, Portugal

    José Cordeiro

  2. Centre for Telematics and Information Te, University of Twente, Enschede, The Netherlands

    Marten van Sinderen

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Zhou, P., Leung, H.K.N. (2014). Strategies for Scheduling Risk Mitigation in Software Project Management. In: Cordeiro, J., van Sinderen, M. (eds) Software Technologies. ICSOFT 2013. Communications in Computer and Information Science, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44920-2_1

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  • DOI: https://doi.org/10.1007/978-3-662-44920-2_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44919-6

  • Online ISBN: 978-3-662-44920-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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