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TracyML - A Modeling Language for Social Impacts of Product Life Cycles

Betz, Stefanie; Fritsch, Andreas; Oberweis, Andreas

Abstract:
In order to analyse the impacts of production and consumption on social sustainability, Social Life Cycle Assessment (S-LCA) has emerged as an extensive and promising, yet still young methodology. S-LCA captures the whole life cycle of a product and aims to include all relevant affected stakeholders. It therefore requires large amounts of data and produces likewise complex results, which makes the presentation of findings challenging. We argue that conceptual models make the complexity of S-LCA study results easier to handle. In particular, Domain-Specific Modeling Languages (DSML) support users in structuring and communicating a complex problem domain. This paper presents TracyML, a DSML which provides transparency of social impacts associated with a product’s life cycle. Special emphasis has been laid on the graphical notation and understandability of the resulting models. We have evaluated the utility of TracyML by performing interviews with domain experts.

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Verlagsausgabe §
DOI: 10.5445/IR/1000092976
Veröffentlicht am 06.05.2019
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000092976
Erschienen in Forum and Demos at ER 2017. Proceedings of the ER Forum 2017 and the ER 2017 Demo Track co-located with the 36th International Conference on Conceptual Modelling (ER 2017), Valencia, Spain, November 6-9, 2017. Ed.: C. Cabanillas, S. España, S. Farshidi
Verlag RWTH, Aachen
Seiten 193-206
Serie CEUR Workshop Proceedings ; 1979
Schlagwörter Domain-Specific Modeling Language, Product Life Cycle Modeling, Social Life Cycle Assessment
Nachgewiesen in Scopus
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