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  • Using extended Axiomatic Design theory to reduce complexities in Global Software Development projects

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    Author(s)
    Kandjani, Hadi
    Tavana, Madjid
    Bernus, Peter
    Wen, Lian
    Mohtarami, Amir
    Griffith University Author(s)
    Bernus, Peter
    Wen, Larry
    Kandjani, Hadi
    Year published
    2015
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    Abstract
    Global Software Development (GSD) projects could be best understood as intrinsically complex adaptive living systems: they cannot purely be considered as ‘designed systems’, as deliberate design/control episodes and processes (using ‘software engineering’ models) are intermixed with emergent change episodes and processes (that may perhaps be explained by models). Therefore to understand GSD projects as complex systems we need to combine the state-of-the-art of GSD research, as addressed in the software engineering discipline, with results of other disciplines that study complexity (e.g. Enterprise Architecture, Complexity ...
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    Global Software Development (GSD) projects could be best understood as intrinsically complex adaptive living systems: they cannot purely be considered as ‘designed systems’, as deliberate design/control episodes and processes (using ‘software engineering’ models) are intermixed with emergent change episodes and processes (that may perhaps be explained by models). Therefore to understand GSD projects as complex systems we need to combine the state-of-the-art of GSD research, as addressed in the software engineering discipline, with results of other disciplines that study complexity (e.g. Enterprise Architecture, Complexity and Information Theory, Axiomatic Design theory). In this paper we study the complexity of GSD projects and propose an upper bound estimation of Kolmogorov complexity (KC) to estimate the information content (as a complexity measure) of project plans. We demonstrate using two hypothetical examples how good and bad project plans compare with respect to complexity, and propose the application of extended Axiomatic Design (AD) theory to reduce the complexity of GSD projects in the project planning stage, as well as to keep this complexity as low as possible during the project execution stage.
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    Journal Title
    Computers in Industry
    Volume
    67
    DOI
    https://doi.org/10.1016/j.compind.2014.10.008
    Copyright Statement
    © 2015 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
    Subject
    Software engineering not elsewhere classified
    Distributed computing and systems software
    Manufacturing engineering
    Publication URI
    http://hdl.handle.net/10072/124912
    Collection
    • Journal articles

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