A Multilevel Model of IT Platforms for the Needs of Enterprise IT Landscape Analyses

Kaczmarek-Heß, Monika; Kinderen, Sybren de

doi:10.1007/s12599-017-0482-4

Cited by 8 publications

(5 citation statements)

References 21 publications

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“…Such an approach could build on several examples that exist to motivate the use of multi-level modeling, e.g. [18,44,60,67,90,98], and the patterns suggested by [31].…”

Section: Relieving the Pain: Focus On Frustration With The Traditional Approachmentioning

confidence: 99%

“…A considerable number of publications demonstrated clear advantages of applying multi-level modeling to particular use cases, e.g., [18,27,31,32,44,60,65,67,90,98,100], and supported Atkinson's and Kühne's claim that "there is a strong demand for some kind of technology supporting ontological multi-level modeling" [9, p. 357]. However, while various approaches to multi-level modeling are available, it seems still to be the case what the authors stated 12 years ago: "[…] the software modeling community has not taken advantage of them yet" [9, p. 357].…”

Section: Introductionmentioning

confidence: 99%

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Multi-level modeling: cornerstones of a rationale

Frank

2022

Softw Syst Model

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This expert voice paper presents a comprehensive rationale of multi-level modeling. It aims not only at a systematic assessment of its prospects, but also at encouraging applications of multi-level modeling in business information systems and at providing a motivation for future research. The assessment is developed from a comparison of multi-level modeling with object-oriented, general-purpose modeling languages (GPMLs) and domain-specific modeling languages (DSMLs). To foster a differentiated evaluation, we propose a multi-perspective framework that accounts, among others, for essential design conflicts, different types of users, as well as economic aspects. Besides the assessment of the additional abstraction offered by multi-level modeling, the evaluation also identifies specific drawbacks and remaining challenges. Based on the results of the comparative assessment, in order to foster the adoption and further development of multi-level modeling, we discuss the prospects of supplementing multi-level modeling languages with multi-level programming languages and suggest possible dissemination strategies customized for different groups of users. The paper concludes with an outline of future research.

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“…Such an approach could build on several examples that exist to motivate the use of multi-level modeling, e.g. [18,44,60,67,90,98], and the patterns suggested by [31].…”

Section: Relieving the Pain: Focus On Frustration With The Traditional Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-level modeling: cornerstones of a rationale

Frank

2022

Softw Syst Model

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“…artifact A2.2). However, a deployment diagram is relatively light-weight in terms of the required expressiveness [46]: it has no dedicated attributes for expressing desired qualities, neither do deployment diagrams establish a relation to associated investments.…”

Section: Considering the Fourth Question ''What Open Issues Can We Id...mentioning

confidence: 99%

“…Thus, while alternatives exist for IT infrastructure modeling, such as UML deployment diagrams (for an overview of IT modeling languages, cf. [46]), as none of the other existing approaches allows for a differentiated treatment of IT infrastructure elements, and most importantly, nor do they provide a systematic relation to various types of costs, the ITML becomes our modeling language of choice for expressing the IT infrastructure perspective.…”

Section: Enterprise (Architecture) Modeling (Em) Approachesmentioning

confidence: 99%

Model-based valuation of smart grid initiatives: Foundations, open issues, requirements, and a research outlook

Kinderen

Kaczmarek-Heß

et al. 2022

Data & Knowledge Engineering

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“…However, various studies in multi-level modeling ( [14,16,26]) as well as our own experience with the design of DSML and multi-level models, e.g. [10,22], have shown that the appropriate interpretation of a class' level may change with the context it is used in. The multi-level model in fig.…”

Section: Introductionmentioning

confidence: 99%

Contingent level classes

Frank

Töpel

2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

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It has been known for some time that the level of a class may vary with the context it is used in. There are a few approaches that enable modelers to deal with corresponding requirements. However, they usually provide workarounds to avoid the problem of one class being on different levels at the same time. In this paper, the need for those classes, which are called contingent level classes, is motivated from a conceptual perspective. A conceptualization of contingent level classes is presented that addresses principal integrity issues and accounts for resulting constraints on class properties and relationships. Based on that conceptualization, the paper provides an analysis of specific challenges related to change operations on models that include contingent level classes. Subsequently, a set of patterns for coping with certain kinds of change operations is presented. CCS CONCEPTS • Information systems; • Computing methodologies → Modeling methodologies; • Software and its engineering → Abstraction, modeling and modularity; Model-driven software engineering;

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A Multilevel Model of IT Platforms for the Needs of Enterprise IT Landscape Analyses

Cited by 8 publications

References 21 publications

Multi-level modeling: cornerstones of a rationale

Multi-level modeling: cornerstones of a rationale

Model-based valuation of smart grid initiatives: Foundations, open issues, requirements, and a research outlook

Contingent level classes

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