The Research Field`ModelingField`Modeling Business Information Systems, p.3943, 2014. ,
DOI : 10.1007/s12599-013-0301-5
Supporting organizational eciency and agility: Models, languages and software systems, Dagstuhl Reports, vol.6, issue.5, p.3155, 2016. ,
Domain-specic modeling languages: requirements analysis and design guidelines, In: Domain Engineering, p.133157, 2013. ,
DOI : 10.1007/978-3-642-36654-3_6
Multi-perspective enterprise modeling: foundational concepts, prospects and future research challenges, Software & Systems Modeling, vol.26, issue.3, p.941962, 2014. ,
DOI : 10.1147/sj.263.0276
The Anatomy of the ArchiMate Language, International Journal of Information System Modeling and Design, vol.1, issue.1, p.132, 2010. ,
DOI : 10.4018/jismd.2010092301
Understandability of Goal-Oriented Requirements Engineering Concepts for Enterprise Architects, International Conference on Advanced Information Systems Engineering, p.105119, 2014. ,
DOI : 10.1007/978-3-319-07881-6_8
Research problems in data provenance, IEEE Data Engineering Bulletin, vol.27, p.4552, 2004. ,
Data provenance Encyclopedia of Database Systems, p.608608, 2009. ,
A Semantic Foundation for Provenance Management, Journal on Data Semantics, vol.27, issue.3, p.1117, 2012. ,
DOI : 10.5626/JCSE.2008.2.3.221
Metadata as support for data provenance Information Modelling and Knowledge Bases XXVIII, 26th Int, Conf, vol.292, 2016. ,
The science and art of conceptual modelling. Trans. Large-Scale Data-and Knowledge-Centered Systems, p.76105, 2012. ,
Agile modeling method engineering, Proceedings of the 19th Panhellenic Conference on Informatics, PCI '15, p.510, 2015. ,
DOI : 10.1007/978-3-642-36926-1_9
An agile model-driven method for involving end-users in DSL development, 2016. ,
Design guidelines for domain specic languages. arXiv preprint, 2014. ,
Requirements engineering for the design of conceptual modeling languages, Applied Ontology, vol.52, issue.7, p.724, 2015. ,
DOI : 10.1016/j.infsof.2010.03.004
When and how to develop domain-specic languages, ACM computing surveys (CSUR), vol.37, issue.4, p.316344, 2005. ,
DOI : 10.1145/1118890.1118892
URL : https://ir.cwi.nl/pub/10893/10893D.pdf
Unternehmensmodell-basiertes IT-Kostenmanagement als Bestandteil eines integrativen IT-Controllings, Logos, 2013. ,
DOI : 10.15358/0935-0381_2014_2_116
A survey of data provenance in e-science, ACM SIGMOD Record, vol.34, issue.3, p.3136, 2005. ,
DOI : 10.1145/1084805.1084812
Characterizing Provenance in Visualization and Data Analysis: An Organizational Framework of Provenance Types and Purposes, IEEE Transactions on Visualization and Computer Graphics, vol.22, issue.1, p.3140, 2016. ,
DOI : 10.1109/TVCG.2015.2467551
Provenance, Proceedings of the 2016 International Conference on Management of Data, SIGMOD '16, p.22132217, 2016. ,
DOI : 10.1007/978-3-540-30475-3_8
URL : https://hal.archives-ouvertes.fr/hal-00962157
Understanding the semantics of data provenance to support active conceptual modeling Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development, p.1729, 2007. ,
Improving the Domain Independence of Data Provenance Ontologies, Journal of Database Management, vol.28, issue.1, p.4362, 2017. ,
DOI : 10.4018/JDM.2017010104
The MEMO Meta Modelling Language (MML) and Language Architecture, 2011. ,
How is value created and captured in smart grids? A review of the literature and an analysis of pilot projects, Renewable and Sustainable Energy Reviews, vol.53, p.629638, 2016. ,
DOI : 10.1016/j.rser.2015.08.069
Consonance Between Economic and IT Services: Finding the Balance Between Conflicting Requirements, Int. Working Conf. on RE: Foundation for Software Quality, p.148163, 2015. ,
DOI : 10.1007/978-3-319-16101-3_10