Home > Research > Publications & Outputs > An integrated, probabilistic framework for requ...

Research

Electronic data

  • 292-398-1-PB

    Rights statement: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 2.5 License.

    Final published version, 1.48 MB, PDF document

    Available under license: CC BY-NC-ND

Links

View graph of relations

An integrated, probabilistic framework for requirement change impact analysis

Research output: Contribution to Journal/Magazine › Journal article

Published

Standard

An integrated, probabilistic framework for requirement change impact analysis. / Lock, S.; Kotonya, G.
In: The Australian Journal of Information Systems, Vol. 6, No. 2, 05.1999, p. 38-63.

Research output: Contribution to Journal/Magazine › Journal article

Harvard

Lock, S & Kotonya, G 1999, 'An integrated, probabilistic framework for requirement change impact analysis', The Australian Journal of Information Systems, vol. 6, no. 2, pp. 38-63. <http://info.comp.lancs.ac.uk/publications/Publication_documents/1999-Lock-Probabilistic.pdf>

APA

Lock, S., & Kotonya, G. (1999). An integrated, probabilistic framework for requirement change impact analysis. The Australian Journal of Information Systems, 6(2), 38-63. http://info.comp.lancs.ac.uk/publications/Publication_documents/1999-Lock-Probabilistic.pdf

Vancouver

Lock S, Kotonya G. An integrated, probabilistic framework for requirement change impact analysis. The Australian Journal of Information Systems. 1999 May;6(2):38-63.

Author

Lock, S. ; Kotonya, G. / An integrated, probabilistic framework for requirement change impact analysis. In: The Australian Journal of Information Systems. 1999 ; Vol. 6, No. 2. pp. 38-63.

Bibtex

@article{9dd8b92774db4535bf405198ab413cb2,
title = "An integrated, probabilistic framework for requirement change impact analysis",
abstract = "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.",
author = "S. Lock and G. Kotonya",
note = "This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 2.5 License.",
year = "1999",
month = may,
language = "English",
volume = "6",
pages = "38--63",
journal = "The Australian Journal of Information Systems",
issn = "1039-7841",
publisher = "UQ Business School, The University of Queensland",
number = "2",

}

RIS

TY - JOUR

T1 - An integrated, probabilistic framework for requirement change impact analysis

AU - Lock, S.

AU - Kotonya, G.

N1 - This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 2.5 License.

PY - 1999/5

Y1 - 1999/5

N2 - 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.

AB - 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.

M3 - Journal article

VL - 6

SP - 38

EP - 63

JO - The Australian Journal of Information Systems

JF - The Australian Journal of Information Systems

SN - 1039-7841

IS - 2

ER -