Composition of Relations in Enterprise Architecture Models

Buuren, R. van; Jonkers, Henk; Iacob, Maria-Eugenia; Strating, P.

doi:10.1007/978-3-540-30203-2_5

Cited by 20 publications

(23 citation statements)

References 8 publications

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“…As described by Lankhorst et al [32], the language was created following an extensive collection of requirements both from practitioners and from the literature. Furthermore, care has been taken to construct the language in such a way that relations between concepts are transitive [32,60], which is very useful in the context of fault tree analysis.…”

Section: Modeling Availability From Componentsmentioning

confidence: 99%

An architecture framework for enterprise IT service availability analysis

2013

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This paper presents an integrated enterprise architecture framework for qualitative and quantitative modeling and assessment of enterprise IT service availability. While most previous work has either focused on formal availability methods such as fault trees or qualitative methods such as maturity models, this framework offers a combination.First, a modeling and assessment framework is described. In addition to metamodel classes, relationships and attributes suitable for availability modeling, the framework also features a formal computational model written in a probabilistic version of the Object Constraint Language. The model is based on 14 systemic factors impacting service availability, and also accounts for the structural features of the service architecture.Second, the framework is empirically tested in 9 enterprise information system case studies. Based on an initial availability baseline and the annual evolution of the 14 factors of the model, annual availability predictions are made and compared to the actual outcomes as reported in SLA reports and system logs.The practical usefulness of the method is discussed based on the outcomes of a workshop conducted with the participating enterprises, and some directions for future research are offered.

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Section: Modeling Availability From Componentsmentioning

confidence: 99%

An architecture framework for enterprise IT service availability analysis

2013

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“…Archisurance is an enterprise architecture and modeling case study referred to in [9,16,17,24,25]. It concerns a recent merger of three insurance companies dealing in homeowners' and travel insurance, auto insurance, and legal expense insurance formed to take advantage of synergies between three organizations.…”

Section: Case Study and Instantiated Ea Ontologymentioning

confidence: 99%

“…It is in turn usedBy a BusinessService called PremiumPaymentService which is usedBy a BusinessRole called Customer to obtain information about some claim. A total of 109 individuals are defined similarly to capture most of Archisurance case study from several resources [9,16,17,24,25].…”

Section: Case Study and Instantiated Ea Ontologymentioning

confidence: 99%

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Analyzing Enterprise Models Using Enterprise Architecture-Based Ontology

Sunkle

Kulkarni

Roychoudhury

2013

Lecture Notes in Computer Science

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Abstract. Development and maintenance of enterprise systems is becoming more difficult due to change drivers along multiple interconnected dimensions. It is advisable to model the enterprise first and analyze it for potential concerns. For modeling enterprises, ontologies have been considered apt and have been used in the past for the same, but application of ontologies for EA analysis based on concepts of enterprise and relations between them have been scarce. We present our ongoing work on analyzing enterprise models using EA-based ontological representation of enterprise. Our contributions are twofold: first, we show how an existing EA modeling language can be leveraged to create EA ontology and second, we show how two known EA analyses can be realized using this ontology. Initial results suggest that ontology representation facilitates basic EA analysis prototyping due to right mix of representation and inference functionalities and is extensible for more involved EA analyses.

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“…This is due to the fact abstraction rules may be used to create simplified views on the architecture. These abstractions have a formal basis in an operator that has been derived for the composition of relations (see [20] for the details). For instance, a 'realisation' relation with a consecutive used by' relation may be replaced by a new 'used by' relation that short-circuits a service.…”

Section: Discussionmentioning

confidence: 99%

Quantitative Analysis of Enterprise Architectures

Iacob

Jonkers

Interoperability of Enterprise Software and Applications

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Abstract. Enterprise architecture is concerned with a description of all the relevant elements that make up an enterprise and how these elements inter-relate. It covers aspects ranging from the technical infrastructure, through software applications, to business processes and products. The relations between these layers play a central role. Also from a quantitative analysis perspective, the layers are interrelated: the higher layers impose a workload on the lower layers, while the performance characteristics of the lower layers directly influence the performance of the higher layers. This paper presents an approach for quantitative analysis of layered, service-based enterprise architecture models, which consists of two phases: a 'top-down' propagation of workload parameters, and a 'bottom-up' propagation of performance or cost measures. By means of an example we demonstrate the application of the approach, and show that a seamless integration with other performance analysis methods (e.g., queueing analysis) can be achieved.

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Composition of Relations in Enterprise Architecture Models

Cited by 20 publications

References 8 publications

An architecture framework for enterprise IT service availability analysis

An architecture framework for enterprise IT service availability analysis

Analyzing Enterprise Models Using Enterprise Architecture-Based Ontology

Quantitative Analysis of Enterprise Architectures

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