Preserving Multi-view Consistency in Diagrammatic Knowledge Representation

Bork, Dominik; Buchmann, Robert Andrei; Karagiannis, Dimitris

doi:10.1007/978-3-319-25159-2_16

Cited by 22 publications

(10 citation statements)

References 11 publications

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“…None of the analyzed approaches comprises a specification of modeling requirements, a pre-defined modeling procedure, and a formalized specification of viewpoints and their relationships. Only three approaches specify requirements at all, but only on an informal level using natural language (cf [13]). Six approaches have at least prototypical tool support whereas only three tools are freely available.…”

Section: R-bpm Approaches With Multiple Viewpointsmentioning

confidence: 99%

Risk-aware business process management using multi-view modeling: method and tool

et al. 2021

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Risk-aware Business Process Management (R-BPM) has been addressed in research since more than a decade. However, the integration of the two independent research streams is still ongoing with a lack of research focusing on the conceptual modeling perspective. Such an integration results in an increased meta-model complexity and a higher entry barrier for modelers in creating conceptual models and for addressees of the models in comprehending them. Multi-view modeling can reduce this complexity by providing multiple interdependent viewpoints that, all together, represent a complex system. Each viewpoint only covers those concepts that are necessary to separate the different concerns of stakeholders. However, adopting multi-view modeling discloses a number of challenges particularly related to managing consistency which is threatened by semantic and syntactic overlaps between the viewpoints. Moreover, usability and efficiency of multi-view modeling have never been systematically evaluated. This paper reports on the conceptualization, implementation, and empirical evaluation of e-BPRIM, a multi-view modeling extension of the Business Process-Risk Management-Integrated Method (BPRIM). The findings of our research contribute to theory by showing, that multi-view modeling outperforms diagram-oriented modeling by means of usability and efficiency of modeling, and quality of models. Moreover, the developed modeling tool is openly available, allowing its adoption and use in R-BPM practice. Eventually, the detailed presentation of the conceptualization serves as a blueprint for other researchers aiming to harness multi-view modeling.

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Section: R-bpm Approaches With Multiple Viewpointsmentioning

confidence: 99%

Risk-aware business process management using multi-view modeling: method and tool

et al. 2021

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“…This extended case study shall then be used to evaluate the second TEAM prototype -eventually leading to a mature modeling environment for advanced EAM. Moreover, we will consider to extend the functionality, e.g., with semantic technologies as proposed in [34,35] and mechanisms for ensuring consistency between the multiple ArchiMate layers [36,37,38].…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

Requirements Engineering for Model-Based Enterprise Architecture Management with ArchiMate

Bork

Gerber

Miron

et al. 2018

Lecture Notes in Business Information Processing

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The role of information systems (IS) evolved from supporting basic business functions to complex integrated enterprise platforms and ecosystems. As a result, enterprises increasingly adopt enterprise architecture (EA) as a means to manage complexity and support the ability to change. We initiated a study that investigates the pivotal role of enterprise architecture management (EAM) as an essential strategy to manage enterprise change and within this larger context, specifically how the ArchiMate modeling language can be enhanced with capabilities that support EAM. This paper reports on the evaluation of an EA modeling tool (TEAM) which has been enhanced with EAM capabilities. The evaluation was performed by a focus group of enterprise architects that attended a workshop and applied the tool to an EAM case study. The evaluation results, requirements as well as a conceptualization for further development are presented and are of value for both, enterprise architecture researchers and enterprise architects.

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“…Each view is represented by a conceptual model, and is specified by a viewpoint. The relationship between view and viewpoint is thus analogous to that between model and meta model [8]. A view allows capturing perspective(s).…”

Section: Multi-view Modeling: Key Termsmentioning

confidence: 99%

Towards Assessing the Multi-view Modeling Capability of Enterprise Modeling Methods

Awadid

Bork

Nurcan

2018

Lecture Notes in Business Information Processing

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Today's enterprises and their underlying information systems ask for Multi-View Enterprise Modeling Methods (MVMMs) toward a comprehensive model representation. MVMMs capture the required aspects of complex systems using multiple viewsthe Multi-View Modeling (MVM) capability. However, not all modeling methods are endowed with a MVM capability. Means for assessing and improving such capability are therefore needed. Based on a comparative analysis of three MVMMs, we define the notion of MVM capability. Drawing on these criteria, an EBNF-based description is proposed, serving as a basis for MVM capability assessment. The strengths of the approach go beyond offering a common understanding of the MVM capability notion by i) assessing the MVM capability, and ii) identifying requirements to achieve this capability. Consequently, this approach primarily addresses method engineers aiming to employ MVM capability to a modeling method.

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Preserving Multi-view Consistency in Diagrammatic Knowledge Representation

Cited by 22 publications

References 11 publications

Risk-aware business process management using multi-view modeling: method and tool

Risk-aware business process management using multi-view modeling: method and tool

Requirements Engineering for Model-Based Enterprise Architecture Management with ArchiMate

Towards Assessing the Multi-view Modeling Capability of Enterprise Modeling Methods

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