Paper Info
Title
A Risk-Based Approach Supporting Enterprise Architecture Evolution
Abstract
Enterprise architecture (EA) is a discipline driving change within organizations. The management of EA change is a challenging task for enterprise architects, due to the complex dependencies amongst EA models when evolving towards different alternatives (To-be models). In this paper, we present an approach supporting design decision during EA evolution. The idea is to reason on (To-be) models when evolving to a posterior state. To that end, we rationalize on a set of design decisions that are mapped on a non deterministic finite automaton, which is then evaluated by Markov decision processes. The idea consists of computing EA models valuations while integrating both alternatives rewards and risks metrics. In doing so, we consider risk as a correctness factor to choose the best alternative. Finally, we simulate our risk-based approach using a manufacturing scenario and discuss its usefulness and applicability.
Year
DOI
Venue
2015
10.1007/978-3-319-25897-3_4
Lecture Notes in Business Information Processing
Keywords
Field
DocType
Enterprise architecture,Evolution,Risk,Markov theories,Simulation
Architecture domain,Enterprise architecture,Risk-based testing,Systems engineering,Deterministic finite automaton,Computer science,Correctness,Markov decision process,Enterprise architecture framework,Enterprise architecture management
Conference
Volume
ISSN
Citations 
235
1865-1348
2
PageRank 
References 
Authors
0.37
10
2
Name
Order
Citations
PageRank
Khaled Gaaloul111412.71
Sérgio Guerreiro2539.93