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2005
Journal Article
Title

Software process commonality analysis

Abstract
To remain viable and thrive, software organizations must rapidly adapt to frequent and, often, rather far-ranging changes to their operational context. These changes typically concern many factors, including the nature of the organization's marketplace in general, its customers' demands, and its business needs. In today's most highly dynamic contexts, such as web services development, other changes create additional, severe challenges. Most critical are changes to the technology in which a software product is written or which the software product has to control or use to provide its functionality. These product-support technology changes are frequently relatively small and incremental. They are, therefore, often handled by relatively small , incremental changes to the organization's software processes. However, the frequency of these changes is high, and their impact is elevated by time-to-market and requirements change demands. The net result is an extremely challenging need to create and manage a large number of customized process variants, collectively having more commonalities than differences, and incorporating experience-based, proven best practices . This paper describes a tool-based approach to coping with product-support technology changes. The approach utilizes established capabilities such as descriptive process modeling and the creation of reference models. It incorporates a new, innovative, tool-based capability to analyze commonalities and differences among processes. The paper includes an example-based evaluation of the approach in the domain of Wireless Internet Services as well as a discussion of its potentially broader application.
Author(s)
Ocampo, A.
Bella, F.
Münch, J.
Journal
Software Process. Improvement and Practice  
Open Access
DOI
10.1002/spip.229
Additional link
Full text
Language
English
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Keyword(s)
  • software engineering process

  • commonality

  • variability

  • software process modeling

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