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KI - Künstliche Intelligenz

, Volume 29, Issue 2, pp 213–217 | Cite as

Facilitating Evolution during Design and Implementation

  • Richard McClatchey
AI Market
  • 96 Downloads

Abstract

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, which 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 semantic 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.

Keywords

Large Hadron Collider Compact Muon Solenoid Business Process Management Virtual Laboratory Manufacture Execution System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The development of CRISTAL has been made possible by the support of CERN, CNRS and UWE and colleagues therefrom and in the context of projects supported by the European Commission.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Centre for Complex Cooperative SystemsUWEBristolUK

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