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Facilitating evolution during design and implementation

McClatchey, Richard

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The volumes and complexity of data that companies need to handle are increasing at an accelerating rate. In order to compete effectively and ensure their commercial sustainability, it is becoming crucial for them to achieve robust traceability in both their data and the evolving designs of their systems. This is addressed by the CRISTAL software which was originally developed at CERN by UWE, Bristol, for one of the particle detectors at the Large Hadron Collider, and has been subsequently transferred into the commercial world. Companies have been able to demonstrate increased agility, generate additional revenue, and improve the efficiency and cost-effectiveness with which they develop and implement systems in various areas, including business process management (BPM), healthcare and accounting applications. CRISTAL’s ability to manage data and its provenance at the terabyte scale, with full traceability over extended timescales, together with its description-driven approach, has provided the flexible adaptability required to future proof dynamically evolving software for these businesses.


McClatchey, R. (2015). Facilitating evolution during design and implementation. KI - Künstliche Intelligenz, 29(2), 213-217.

Journal Article Type Article
Acceptance Date Sep 10, 2014
Online Publication Date Sep 10, 2014
Publication Date Jun 1, 2015
Deposit Date Feb 9, 2015
Publicly Available Date Apr 2, 2016
Journal KI - Kunstliche Intelligenz
Print ISSN 0933-1875
Electronic ISSN 1610-1987
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 29
Issue 2
Pages 213-217
Keywords system evolution, description-driven system, software design
Public URL
Publisher URL
Additional Information Additional Information : Published online 10 September 2014. The final publication is available at Springer via


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