Title | ||
---|---|---|
Enterprise architecture availability analysis using fault trees and stakeholder interviews |
Abstract | ||
---|---|---|
The availability of enterprise information systems is a key concern for many organisations. This article describes a method for availability analysis based on Fault Tree Analysis and constructs from the ArchiMate enterprise architecture EA language. To test the quality of the method, several case-studies within the banking and electrical utility industries were performed. Input data were collected through stakeholder interviews. The results from the case studies were compared with availability of log data to determine the accuracy of the method's predictions. In the five cases where accurate log data were available, the yearly downtime estimates were within eight hours from the actual downtimes. The cost of performing the analysis was low; no case study required more than 20 man-hours of work, making the method ideal for practitioners with an interest in obtaining rapid availability estimates of their enterprise information systems. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1080/17517575.2011.647092 | Enterprise IS |
Keywords | Field | DocType |
enterprise information system,input data,method ideal,log data,accurate log data,archimate enterprise architecture ea,fault tree,fault tree analysis,case study,enterprise architecture availability analysis,rapid availability estimate,availability analysis,stakeholder interview,availability,enterprise architecture | ArchiMate,Data mining,Enterprise architecture,Systems engineering,Functional software architecture,Computer science,Enterprise information system,Fault tree analysis,Enterprise information security architecture,Enterprise integration,Downtime | Journal |
Volume | Issue | ISSN |
8 | 1 | 1751-7575 |
Citations | PageRank | References |
13 | 0.68 | 46 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Per Närman | 1 | 300 | 16.08 |
Ulrik Franke | 2 | 309 | 27.06 |
Johan König | 3 | 84 | 5.37 |
Markus Buschle | 4 | 201 | 12.58 |
Mathias Ekstedt | 5 | 634 | 49.70 |