Global Software Development: Measuring, Approximating and Reducing the Complexity of Global Software Development Using Extended Axiomatic Design Theory
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This paper considers GSD projects as designed artefacts, and proposes the application of an Extended Axiomatic Design theory to reduce their complexity in order to increase the probability of project success. Using an upper bound estimation of the Kolmogorov complexity of the so-called 'design matrix' (as a proxy of Information Content as a complexity measure) we demonstrate on two hypothetical examples how good and bad designs of GSD planning compare in terms of complexity. We also demonstrate how to measure and calculate the 'structural' complexity of GSD projects and show that by satisfying all design axioms this 'structural' complexity could be minimised.
Proceedings of the 23rd Australasian Conference on Information Systems, ACIS' 2012
© 2012 Australasian Association for Information Systems. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
Global Information Systems