International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 129 - Number 10 |
Year of Publication: 2015 |
Authors: Addamssiri Najiba, Azzeddine Dahbi, Mohammed Mouhir, Abdelouhaed Kriouile, Taoufiq Gadi |
10.5120/ijca2015906989 |
Addamssiri Najiba, Azzeddine Dahbi, Mohammed Mouhir, Abdelouhaed Kriouile, Taoufiq Gadi . Methods of Detection and Resolution of Anomalies in Business Rule: Comparative Study. International Journal of Computer Applications. 129, 10 ( November 2015), 1-7. DOI=10.5120/ijca2015906989
Currently, agile enterprises are seeking to identify, represent and document the Business rules (BRs) which become one of the most effective ways to express business knowledge. So due to their impact on the information system, detecting and identifying mistakes become an important topic of great concern for the development of information systems. In this paper, we provide a review of several methods treating mistakes in business rules, and present a criteria-based comparison. This work is an outline of future work to integrate business rules filtering in the MDA approach. Also the results of this study will make easier, to provide a relevant method for verification and resolution of the consistency of business rules have a significant impact on the MDA approach.