An Empirical Study on Views of Importance of Change Impact Analysis Issues

Document type: Journal Articles
Article type: Original article
Peer reviewed: Yes
Author(s): Per Rovegård, Lefteris Angelis, Claes Wohlin
Title: An Empirical Study on Views of Importance of Change Impact Analysis Issues
Journal: IEEE Transactions on Software Engineering
Year: 2008
Volume: 34
Issue: 4
Pagination: 513-530
ISSN: 0098-5589
Publisher: IEEE
ISI number: 000257936500007
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Systems and Software Engineering (Sektionen för teknik – avd. för programvarusystem)
School of Engineering S- 372 25 Ronneby
+46 455 38 50 00
http://www.tek.bth.se/
Language: English
Abstract: Change impact analysis (IA) is a change management activity that previously has been much studied from a technical perspective. For example, much work focuses on methods for determining the impact of a change. In this paper, we present results from a study on the role of IA in the change management process. In the study, IA issues were prioritized with respect to criticality by software professionals from an organizational perspective and a self-perspective. The software professionals belonged to three organizational levels: operative, tactical, and strategic. Qualitative and statistical analyses with respect to differences between perspectives and levels are presented. The results show that important issues for a particular level are tightly related to how the level is defined. Similarly, issues important from an organizational perspective are more holistic than those important from a self-perspective. However, our data indicate that the self-perspective colors the organizational perspective, meaning that personal opinions and attitudes cannot be easily disregarded. In comparing the perspectives and the levels, we visualize the differences in a way that allows us to discuss two classes of issues: high priority and medium priority. The most important issues from this point of view concern fundamental aspects of IA and its execution.
Subject: Software Engineering\General
Keywords: change impact analysis, organizational level, perspective, prioritization, issues
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