Skip to Main content Skip to Navigation
Conference papers

Towards Meta Model Provenance: A Goal-Driven Approach to Document the Provenance of Meta Models

Abstract : This paper introduces the notion of meta model provenance. Meta model provenance helps to understand the origins of meta model elements, such as language concepts, attributes, or constraints. Thus, it should answer questions such as: where did this language concept come from? under which assumptions was it introduced? Among others, meta model provenance is intended to support the controlled evolution of languages and informed language (re-)design. In this paper, we focus on a goal-driven meta model provenance approach. This is one specific operationalization of the meta model provenance concept, which shows how goal models help to understand the origins of the elements of a conceptual modeling language. To illustrate our goal-driven provenance approach, we use a scenario from the electricity domain.
Complete list of metadata

Cited literature [25 references]  Display  Hide  Download

https://hal.inria.fr/hal-01765255
Contributor : Hal Ifip <>
Submitted on : Thursday, April 12, 2018 - 4:34:05 PM
Last modification on : Friday, November 8, 2019 - 3:06:02 PM

File

459826_1_En_4_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Sybren Kinderen, Monika Kaczmarek-Heß, Qin Ma, Iván Razo-Zapata. Towards Meta Model Provenance: A Goal-Driven Approach to Document the Provenance of Meta Models. 10th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Nov 2017, Leuven, Belgium. pp.49-64, ⟨10.1007/978-3-319-70241-4_4⟩. ⟨hal-01765255⟩

Share

Metrics

Record views

404

Files downloads

137