Abstract:Enterprise Architecture (EA) models the whole vision of an organisation in various aspects regarding both business processes and information technology resources. As the organisation grows, tbe architecture governing its systems and processes must also evolve to meet with the demands of the business environment. In this context, a critical issue is change propagation: given a set of primary changes that have been made to the EA model, what additional secondary changes are needed to maintain consistency across … Show more
“…Previous work has shown the effectiveness of this framework in supporting change propagation within agentoriented design models [11], [12], [13], [14]. Our recent work [15] has also indicated that the framework is applicable to deal with changes in enterprise architectures.…”
“…Previous work has shown the effectiveness of this framework in supporting change propagation within agentoriented design models [11], [12], [13], [14]. Our recent work [15] has also indicated that the framework is applicable to deal with changes in enterprise architectures.…”
“…After the reconciliation step additional changes can be inferred using change propagation techniques (cf. [12], [13]). In step 5, the model is then populated again with this inferred knowledge.…”
Creating and maintaining an enterprise architecture model that is both up-to-date and accurate is a difficult task due to the size and complexity of the models and the dispersed nature of EA information in organizations. In current EA maintenance processes, the models are maintained manually with only little automation, which is a time consuming task. Literature from research and practice has identified this challenge, however only few scientific publications actually address the issue of EA model maintenance and its automation. In our research effort on Living Models, we work towards solutions for a closer connection between EA models and what they represent in the real world. In this article we present (semi-)automated processes for maintaining enterprise architecture models by gathering information from both human input and technical interfaces and discuss implementation issues for realizing the processes in practice. This work is one of the first steps in the direction of minimizing manual work for EAM by automation and increasing EA data quality attributes such as consistency and actuality.
“…Dam et al 54 propose an enterprise architectural (EA) description language for change propagation within an EA model. To resolve conflicts and inconsistency while propagating the changes, the framework devises repair plans based on consistency and well-formedness rules formulated in Alloy.…”
Section: Conflict Detection and Resolutionmentioning
In large organizations, multiple stakeholders may modify the same business process. This paper addresses the problem when stakeholders perform changes on process views which become inconsistent with the business process and other views. Related work addressing this problem is based on execution trace analysis which is performed in a post-analysis phase and can be complex when dealing with large business process models. In this paper, we propose a design-based approach that can efficiently check consistency criteria and propagate changes on-the-fly from a process view to its reference process and related process views. The technique is based on consistent specialization of business processes and supports the control flow aspect of processes. Consistency checks can be performed during the design time by checking simple rules which support an efficient change propagation between views and reference process.
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