A tool for enterprise architecture analysis using the PRM formalism

CEUR Workshop Proceedings

Volumn 592, Issue , 2010, Pages

  Buschle, Markus ^a   Ullberg, Johan ^a   Franke, Ulrik ^a   Lagerström, Robert ^a   Sommestad, Teodor ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Data quality; Enterprise architecture; Probabilistic relational models; Software tool

Indexed keywords

DATA QUALITY; DECISION MAKING SUPPORT; ENTERPRISE ARCHITECTURE; ENTERPRISE-WIDE INFORMATION SYSTEMS; MODEL-BASED ANALYSIS; MODEL-BASED DECISION-MAKING; PROBABILISTIC RELATIONAL MODELS; REASONING UNDER UNCERTAINTY;

COMPUTER AIDED SOFTWARE ENGINEERING; COMPUTER SOFTWARE; TOOLS;

UNCERTAINTY ANALYSIS;

EID: 84888312892     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Ross, J.W., Weill, P., Robertson, D.: Enterprise Architecture As Strategy: Creating a Foundation for Business Execution. Harvard Business School Press (August 2006).
2. Winter, R., Fischer, R.: Essential layers, artifacts, and dependencies of enterprise architecture. Journal of Enterprise Architecture Volume 3, Number 2 (2007) 7-18.
3. The Open Group: TOGAF 2007 edition. Van Haren Publishing, Zaltbommel, Netherlands (2008).
4. Zachman, J.A.: A framework for information systems architecture. IBM Syst. J. 26(3) (1987) 276-292.
5. Department of Defense Architecture Framework Working Group: DoD Architecture Framework, version 1.5. Technical report, Department of Defense, USA (2007).
6. NAF: NATO C3 Technical Architecture. (2005).
7. Johnson, P., Ekstedt, M.: Enterprise Architecture Models and Analyses for Information Systems Decision Making. Studentlitteratur, Sweden (2007).
8. Troux Technologies: Metis. http://www.troux.com/products/(March 2010).
9. IBM: System Architect. http://www-01.ibm.com/software/awdtools/ systemarchitect/productline/(March 2010).
10. Scheer, A.: Business process engineering: Reference models for industrial enterprises. Springer-Verlag New York, Inc. Secaucus, NJ, USA (1994).
11. Getoor, L., Friedman, N., Koller, D., Pfeffer, A., Taskar, B.: Probabilistic relational models. In Getoor, L., Taskar, B., eds.: An Introduction to Statistical Relational Learning. MIT Press (2007).
12. Kurpjuweit, S., Winter, R.: Viewpoint-based meta model engineering. In: Enterprise Modelling and Information Systems Architectures (EMISA 2007) (2007).
13. Friedman, N., Getoor, L., Koller, D., Pfeffer, A.: Learning probabilistic relational models. In: Proc. of the 16th International Joint Conference on Artificial Intelligence, Morgan Kaufman (1999) 1300-1309.
14. NetBeans: NetBeans Visual Library. http://graph.netbeans.org (March 2010).
15. Decision Systems Laboratory of the University of Pittsburgh: SMILE. http://genie.sis.pitt.edu/(March 2010).
16. Magnusson, S., Udin, S.: Assessing data quality on the maintenance sytem at svenska kraftnät. Technical report, Industrial Information and Control Systems, KTH (2009).
17. Lankhorst, M.: Enterprise architecture at work : modelling, communication, and analysis. Springer (2005).
18. Lauritzen, S.: Propagation of probabilities, means, and variances in mixed graphical association models. Journal of the American Statistical Association 87(420) (1992) 1098-1108.
19. Object Management Group: Object Constraint Language specification, version 2.0 formal/06-05-01. Technical report (2006).