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Some Perspectives on Change Management: From Basic Primitive Tools to Context-Aware Applicative Components

Published: 16 September 2014 Publication History

Abstract

Using knowledge about data organization allows for a finer tracking, more relevant analysis and more significant change reporting. Therefore, change management is called to evolve toward a stronger exploitation of structural semantics by algorithms.
However, to reach its full potential, we claim that change management has to address an even more challenging issue: understanding and capturing the environment in which the changes take place. This will enable us to go beyond data-centric algorithms having narrow applicability towards context-sensitive algorithms having a much broader scope.
To achieve this, we will need to define, model and exploit richer contextual semantics. A key dimension of this contextual semantics is time itself which, obviously, is consubstantial to the notion of change, but typically ignored by data-centric algorithms. Another central issue to be addressed is the design of suitable models encompassing structural as well as behavioral constraints.

References

[1]
The Long Now Foundation http://longnow.org/
[2]
Semantic Versioning, Technical Whitepaper, OSGi Alliance, Revision 1.0, May 2010, http://www.osgi.org/wiki/uploads/Links/SemanticVersioning.pdf, last accessed: {03/2015}
[3]
PERICLES, an Integrated Project funded by the European Union (2013–2017) http://www.pericles-project.eu/

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  1. Some Perspectives on Change Management: From Basic Primitive Tools to Context-Aware Applicative Components

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      cover image ACM Other conferences
      DChanges '14: Proceedings of the 2nd International Workshop on (Document) Changes: modeling, detection, storage and visualization
      September 2014
      38 pages
      ISBN:9781450329644
      DOI:10.1145/2723147
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 16 September 2014

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      DChanges '14

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      DChanges '14 Paper Acceptance Rate 7 of 9 submissions, 78%;
      Overall Acceptance Rate 13 of 19 submissions, 68%

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