Lock, S. and Kotonya, G. (1999) An integrated, probabilistic framework for requirement change impact analysis. The Australian Journal of Information Systems, 6 (2). pp. 38-63. ISSN 1039-7841Full text not available from this repository.
Impact analysis is an essential part of change management. Without adequate analysis it is not possible to confidently determine the extent, complexity and cost of proposed changes 10 a software system. This diminishes the ability of a developer or mamtainer to make informed decisions regarding the inclusion or rejection of proposed changes. The lack of coherent impact analysis can also hinder the process of ensuring that all system components affected by a change are updated. The abstract nature of requirement level entities has meant that current impact analysis techniques have focused largely on design and code level artifacts. This paper proposes a novel approach which integrates traditional impact analysis with experience based techniques to extend current approaches to support requirement level impact analysis. Central to this approach is the use of probability to assist in the combination and presentation of predicted impact propagation paths. An Auto Teller Machine (ATM) example is used to illustrate the approach.
|Journal or Publication Title:||The Australian Journal of Information Systems|
|Additional Information:||This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 2.5 License.|
|Subjects:||?? qa75 ??|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||07 Jul 2011 16:46|
|Last Modified:||25 Mar 2017 00:04|
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