The “What” Facet of the Zachman Framework – A Linked Data-Driven Interpretation

Harkai, Alisa; Cinpoeru, Mihai; Buchmann, Robert Andrei

doi:10.1007/978-3-319-92898-2_17

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…Provide examples of varying degrees of specificitye.g. see in [25] the case of a "technologyspecific" modeling language that is tailored for generating code fragments for a minor PHP programming library.  Refine "purpose" into explicit "modeling method requirements": invoke model-driven mechanisms and/or decision support as sources for modeling tool requirements that must be satisfied by modeling methods [23].…”

Section: Requirements and Treatmentsmentioning

confidence: 99%

“…The success of the proposed treatments manifests in the availability of publishable research results authored by master students and presented in prestigious conferencessee BIR 2019 [17], ENASE 2018 [29], ICEIS 2018 [30] CAISE 2018 workshops [25] and PoEM 2018 workshops [31]. This has been a premiere in the first author's institution and further inspires industry collaborations on model-driven engineering for which students have, for the first time, a holistic understanding of the nature of models and how they can drive the engineering of other types of artifacts even when models do not play the role of graphical documentation.…”

Section: Requirements and Treatmentsmentioning

confidence: 99%

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Conceptual Modeling Education as a “Design Problem”

Buchmann

Ghiran

Döller

et al. 2019

CSIMQ

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This article frames Conceptual Modeling education as a design problem, in the sense of the Design Science research framework, motivated by student preconceptions and oversimplifications causing a gap between how the discipline is perceived at bachelor level and the holistic understanding of model value that is required for research work. The treatment to this design problem must comprise teaching approaches and artifacts capable of positioning Conceptual Modeling as a standalone discipline having a value proposition for any application domain, rather than a technique subordinated to other disciplines. The underpinning thesis is that modeling languages should be primarily understood as purposeful knowledge schemas that can be subjected to agile adaptations in support of model-driven systems or knowledge processes, by analogy to how a database schema is evolved in response to changing requirements of a data-driven system or data analytics needs. This thesis is supported by enablers provided by the Open Models Laboratory and the Agile Modeling Method Engineering frameworkresources that support the development of treatments to the design problem framed by the article.

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Section: Requirements and Treatmentsmentioning

confidence: 99%

Section: Requirements and Treatmentsmentioning

confidence: 99%

Conceptual Modeling Education as a “Design Problem”

Buchmann

Ghiran

Döller

et al. 2019

CSIMQ

Self Cite

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show abstract

“…Recent research in model-driven engineering introduced two novel notions: (a) "technologyspecific" modeling languages, a kind of domain-specific modeling languages where, instead of domain concepts, the language must assimilate technology-specific constructs as first order modeling citizens [1] and (b) "model-aware software engineering" (MASE), a flavor of modeldriven engineering where models interact with running software through semantic technology [2].…”

Section: Introductionmentioning

confidence: 99%

Agile Development of PHP Websites: A Model-Aware Approach

Gog

2020

CSIMQ

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The Design Science research method was hereby employed to develop an artifact that demonstrates the experimental “model-aware” software engineering methodology in the context of PHP Web development – a “low code” development approach with code templates generated from technology-specific models. The proof-of-concept consists of two interacting components: a custom diagrammatic modeling environment and model-driven generated PHP pages. The interaction between the two components conforms the engineering method labelled as “Model-aware software engineering” (MASE) – a flavor of model-driven engineering recently introduced in research projects as a hybridization of the Agile Modeling Method Engineering (AMME) framework and the Resource Description Framework (RDF). The experimental MASE method is employed here to demonstrate its feasibility for the common Model-View-Controller (MVC) website development pattern, thus showing potential to support common Web development work.

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