Facilitating Evolution during Design and Implementation
| dc.contributor.author | McClatchey, Richard | |
| dc.date.accessioned | 2018-01-08T09:17:45Z | |
| dc.date.available | 2018-01-08T09:17:45Z | |
| dc.date.issued | 2015 | |
| dc.description.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. | |
| dc.identifier.pissn | 1610-1987 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/11464 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 29, No. 2 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.title | Facilitating Evolution during Design and Implementation | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 217 | |
| gi.citation.startPage | 213 |