Visualizing traceability in model transformation compositions

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Analysis and execution of domain-specific models is typically performed by applying model transformations to transform them to formalisms suitable for that purpose. In this way, model transformations provide great exibility. However, it is the transformed models that are analyzed and executed instead of the domain-specific models themselves. Consequently, analysis and execution results have to be traced back to the source models. This raises the issue of traceability in model transformations. This issue becomes even more apparent when compositions of multiple model transformations are considered. Therefore, we propose in this paper to visualize traceability in (compositions of) model transformations. In this visualization, the relation between the transformation functions that comprise a model transformation and the source and target metamodel of that transformation are made explicit.
Original languageEnglish
Title of host publicationPre-proceedings of the first workshop on Composition and Evolution of Model Transformations (London, UK, September 30, 2011)
Place of PublicationLondon
PublisherDepartment of Informatics, King's College London
Publication statusPublished - 2011

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Amstel, van, M. F., Serebrenik, A., & Brand, van den, M. G. J. (2011). Visualizing traceability in model transformation compositions. In Pre-proceedings of the first workshop on Composition and Evolution of Model Transformations (London, UK, September 30, 2011) London: Department of Informatics, King's College London.
Amstel, van, M.F. ; Serebrenik, A. ; Brand, van den, M.G.J. / Visualizing traceability in model transformation compositions. Pre-proceedings of the first workshop on Composition and Evolution of Model Transformations (London, UK, September 30, 2011). London : Department of Informatics, King's College London, 2011.
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abstract = "Analysis and execution of domain-specific models is typically performed by applying model transformations to transform them to formalisms suitable for that purpose. In this way, model transformations provide great exibility. However, it is the transformed models that are analyzed and executed instead of the domain-specific models themselves. Consequently, analysis and execution results have to be traced back to the source models. This raises the issue of traceability in model transformations. This issue becomes even more apparent when compositions of multiple model transformations are considered. Therefore, we propose in this paper to visualize traceability in (compositions of) model transformations. In this visualization, the relation between the transformation functions that comprise a model transformation and the source and target metamodel of that transformation are made explicit.",
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Amstel, van, MF, Serebrenik, A & Brand, van den, MGJ 2011, Visualizing traceability in model transformation compositions. in Pre-proceedings of the first workshop on Composition and Evolution of Model Transformations (London, UK, September 30, 2011). Department of Informatics, King's College London, London.

Visualizing traceability in model transformation compositions. / Amstel, van, M.F.; Serebrenik, A.; Brand, van den, M.G.J.

Pre-proceedings of the first workshop on Composition and Evolution of Model Transformations (London, UK, September 30, 2011). London : Department of Informatics, King's College London, 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Visualizing traceability in model transformation compositions

AU - Amstel, van, M.F.

AU - Serebrenik, A.

AU - Brand, van den, M.G.J.

PY - 2011

Y1 - 2011

N2 - Analysis and execution of domain-specific models is typically performed by applying model transformations to transform them to formalisms suitable for that purpose. In this way, model transformations provide great exibility. However, it is the transformed models that are analyzed and executed instead of the domain-specific models themselves. Consequently, analysis and execution results have to be traced back to the source models. This raises the issue of traceability in model transformations. This issue becomes even more apparent when compositions of multiple model transformations are considered. Therefore, we propose in this paper to visualize traceability in (compositions of) model transformations. In this visualization, the relation between the transformation functions that comprise a model transformation and the source and target metamodel of that transformation are made explicit.

AB - Analysis and execution of domain-specific models is typically performed by applying model transformations to transform them to formalisms suitable for that purpose. In this way, model transformations provide great exibility. However, it is the transformed models that are analyzed and executed instead of the domain-specific models themselves. Consequently, analysis and execution results have to be traced back to the source models. This raises the issue of traceability in model transformations. This issue becomes even more apparent when compositions of multiple model transformations are considered. Therefore, we propose in this paper to visualize traceability in (compositions of) model transformations. In this visualization, the relation between the transformation functions that comprise a model transformation and the source and target metamodel of that transformation are made explicit.

M3 - Conference contribution

BT - Pre-proceedings of the first workshop on Composition and Evolution of Model Transformations (London, UK, September 30, 2011)

PB - Department of Informatics, King's College London

CY - London

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Amstel, van MF, Serebrenik A, Brand, van den MGJ. Visualizing traceability in model transformation compositions. In Pre-proceedings of the first workshop on Composition and Evolution of Model Transformations (London, UK, September 30, 2011). London: Department of Informatics, King's College London. 2011