Name
Abstract | ||
|---|---|---|
Analysis of dependencies between technical systems and business processes is an important part of the discipline of Enterprise Architecture (EA). However, EA models typically provide only visual and qualitative decision support. This paper shows how EA frameworks for dependency analysis can be extended into the realm of quantitative methods by use of the Fault Tree Analysis (FTA) and Bayesian networks (BN) techniques. Using DoDAF -- the Department of Defense Architecture Framework -- as an example, we provide a method for how these EA models can be adapted for use of FTA and BN. Furthermore, we use this method to perform dependency analysis and scenario evaluation on a sample DoDAF model. |
Year | Venue | Keywords |
|---|---|---|
2009 | SpringSim | business process,ea framework,sample dodaf model,quantitative method,ea model,bayesian network,enterprise architecture,dependency analysis,fault tree,fault tree analysis,defense architecture framework,enterprise architecture dependency analysis,bayesian networks,decision support,dependence analysis |
Field | DocType | Citations |
Data mining,Department of Defense Architecture Framework,Enterprise architecture,Business process,Computer science,Simulation,Decision support system,Bayesian network,View model,Fault tree analysis,Technical systems | Conference | 11 |
PageRank | References | Authors |
0.61 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ulrik Franke | 1 | 18 | 1.05 |
| Waldo Rocha Flores | 2 | 82 | 6.92 |
| Pontus Johnson | 3 | 788 | 55.88 |