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Software Process Improvement and Practice
Article . 2005 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
https://dx.doi.org/10.24406/pu...
Other literature type . 2003
Data sources: Datacite
https://dx.doi.org/10.48550/ar...
Article . 2013
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Software process commonality analysis

Authors: Alexis Ocampo; Fabio Bella; Jürgen Münch;

Software process commonality analysis

Abstract

AbstractTo 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. Copyright © 2005 John Wiley & Sons, Ltd.

Keywords

Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
Green
bronze