A process model of change impact analysis for web systems using design knowledge

Mehboob, Z; Zowghi, D; Lowe, D

A process model of change impact analysis for web systems using design knowledge

Mehboob, Z Zowghi, D

Lowe, D

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the European, Mediterranean and Middle Eastern Conference on Information Systems - Informing Responsible Management: Sustainability in Emerging Economies, EMCIS 2011, 2011, pp. 582 - 595
Issue Date:: 2011-12-01

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Field	Value	Language
dc.contributor.author	Mehboob, Z	en_US
dc.contributor.author	Zowghi, D https://orcid.org/0000-0002-6051-0155	en_US
dc.contributor.author	Lowe, D	en_US
dc.date.issued	2011-12-01	en_US
dc.identifier.citation	Proceedings of the European, Mediterranean and Middle Eastern Conference on Information Systems - Informing Responsible Management: Sustainability in Emerging Economies, EMCIS 2011, 2011, pp. 582 - 595	en_US
dc.identifier.isbn	9781902316857	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29437
dc.description.abstract	Change impact analysis (CIA) approaches have been developed to identify the consequences of making changes to system artefacts and to support decision making with regards to those changes. There is a growing body of research on CIA approaches that specifically addresses changes and their impacts on architecture design. However, there is little research focus on approaches that particularly support the identification of impacts on architecture design resulting from business process changes i.e. early identification of change impacts in Web systems. In this paper we propose a process model of CIA(PMCIA) that employs design knowledge to support early identification of change impacts. This process model is described in three steps including analysing changes, tracing potential change impacts and implementing changes on architecture design. We also illustrate the process model through an exemplar case study.	en_US
dc.relation.ispartof	Proceedings of the European, Mediterranean and Middle Eastern Conference on Information Systems - Informing Responsible Management: Sustainability in Emerging Economies, EMCIS 2011	en_US
dc.title	A process model of change impact analysis for web systems using design knowledge	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Athens, Greece	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Graduate Research School
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
pubs.organisational-group	/University of Technology Sydney/Strength - STEM Education Futures
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Change impact analysis (CIA) approaches have been developed to identify the consequences of making changes to system artefacts and to support decision making with regards to those changes. There is a growing body of research on CIA approaches that specifically addresses changes and their impacts on architecture design. However, there is little research focus on approaches that particularly support the identification of impacts on architecture design resulting from business process changes i.e. early identification of change impacts in Web systems. In this paper we propose a process model of CIA(PMCIA) that employs design knowledge to support early identification of change impacts. This process model is described in three steps including analysing changes, tracing potential change impacts and implementing changes on architecture design. We also illustrate the process model through an exemplar case study.

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http://hdl.handle.net/10453/29437