Research Article

Methods of Detection and Resolution of Anomalies in Business Rule: Comparative Study

by  Addamssiri Najiba, Azzeddine Dahbi, Mohammed Mouhir, Abdelouhaed Kriouile, Taoufiq Gadi
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Issue 10
Published: November 2015
Authors: Addamssiri Najiba, Azzeddine Dahbi, Mohammed Mouhir, Abdelouhaed Kriouile, Taoufiq Gadi
10.5120/ijca2015906989
PDF

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

                        @article{ 10.5120/ijca2015906989,
                        author  = { Addamssiri Najiba,Azzeddine Dahbi,Mohammed Mouhir,Abdelouhaed Kriouile,Taoufiq Gadi },
                        title   = { Methods of Detection and Resolution of Anomalies in Business Rule: Comparative Study },
                        journal = { International Journal of Computer Applications },
                        year    = { 2015 },
                        volume  = { 129 },
                        number  = { 10 },
                        pages   = { 1-7 },
                        doi     = { 10.5120/ijca2015906989 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2015
                        %A Addamssiri Najiba
                        %A Azzeddine Dahbi
                        %A Mohammed Mouhir
                        %A Abdelouhaed Kriouile
                        %A Taoufiq Gadi
                        %T Methods of Detection and Resolution of Anomalies in Business Rule: Comparative Study%T 
                        %J International Journal of Computer Applications
                        %V 129
                        %N 10
                        %P 1-7
                        %R 10.5120/ijca2015906989
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
  • B. Gerhard, D. Jürgen et K. Kurt, Nonmonotonic Reasoning - An Overview, Stanford: CSLI publications, 1997.
  • C.L. Chang, J.B. Combs, R.A. Stachowitz, "A Report on the Expert Systems Validation Associate (EVA)" Expert Systems With Applications, pp. 217-230, 1990.
  • C. Jan, "Conflict Resolution Using Logic Programming," IEEE Transactions On Knowledge And Data Engineering, vol. 15, pp. 244 -249, 2003.
  • C. MIN-YUAN et H. CHIN-JUNG, "A Novel Approach for Treating Uncertain Rule-based Knowledge Conflicts" J. OF INFORMATION SCIENCE AND ENGINEERING, vol. 25, pp. 649-663, 2008.
  • D. Zhang. et N. Doan., "PREPARE: A Tool for Knowledge Base Verification" IEEE Transactions on Knowledge and Data Engineering, pp. 983-989, 1994.
  • G. Denilson dos Santos, S. Eber Assis et J. A. Antônio, "A Method for Verifying the Consistency of Business Rules Using Alloy”, International Conference on Software Engineering & Knowledge Engineering, Vancouver, Canada, 2014.
  • L. An et N. Wilfred, "Vague Sets or Intuitionistic Fuzzy Sets for Handling Vague Data: Which One Is Better?" Lecture Notes in Computer Science, vol. 3716 , pp. 401-416, 2005.
  • M. Tony, "Business Rules and Information Systems: Aligning It with Business Goals” Boston, MA: Addison-Wesley, 2002.
  • Richard, C. Hicks, "The no inference engine theory — Performing conflict resolution during development", Decision Support Systems, vol. 43, n° 12, p. 435–444, 2006
  • S. Motoi, S. A. Carlisle and S. Edward , "An Approach to Verifying Completeness and Consistency in a Rule-Based Expert System" AI Magazine, vol. 3, pp. 16-21, 1982.
  • T. Wei-Tek, V. Rama et Z. Du, "Verification and validation of Knowledge-Based Systems," IEEE Transactions on Knowledge and Data Engineering, vol. 11, pp. 202-212, 1999.
  • 12 Z. Qingchuan, Z. Guangping, X. Chaoen et Y. Yang, "A rule conflict resolution method based on Vague set," Soft Computing , vol. 18, n° 13, pp. 549-555 , 2013.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Business Rules detection resolution structural errors SBVR

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