Global software development : measuring, approximating and reducing the complexity of global software development using extended axiomatic design theory

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Global software development : measuring, approximating and reducing the complexity of global software development using extended axiomatic design theory

Kandjani, Hadi, Bernus, Peter and Wen, Lian 2012, Global software development : measuring, approximating and reducing the complexity of global software development using extended axiomatic design theory, in ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012, ACIS, [Geelong, Vic.], pp. 1-11.

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Title	Global software development : measuring, approximating and reducing the complexity of global software development using extended axiomatic design theory
Author(s)	Kandjani, Hadi Bernus, Peter Wen, Lian
Conference name	Australasian Conference on Information Systems (23rd : 2012 : Geelong, Victoria)
Conference location	Geelong, Victoria
Conference dates	3-5 Dec. 2012
Title of proceedings	ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012
Editor(s)	Lamp, John orcid.org/0000-0003-1891-0400
Publication date	2012
Conference series	Australasian Conference on Information Systems
Start page	1
End page	11
Total pages	11
Publisher	ACIS
Place of publication	[Geelong, Vic.]
Keyword(s)	global software development complexity extended axiomatic design theory Kolmogorov Complexity
Summary	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.
Notes	Reproduced with the kind permission of the copyright owner.
Language	eng
Field of Research	089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective	970108 Expanding Knowledge in the Information and Computing Sciences
Related work	DU:30049020
Copyright notice	©2012, The Authors/ACIS
Free to Read?	Yes
Persistent URL	http://hdl.handle.net/10536/DRO/DU:30049125

Document type:	Conference Paper
Collections:	ACIS : Proceedings of the 23rd Australasian Conference on Information Systems 2012 Open Access Collection


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