A Toolbox Supporting Agile Modelling Method Engineering: ADOxx.org Modelling Method Conceptualization Environment
The importance of Modelling Method Engineering is equally rising with the importance of domain specific modelling methods and individual modelling approaches. In order to capture the most relevant semantic primitives that address domain specifics needs, i
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Abstract. The importance of Modelling Method Engineering is equally rising with the importance of domain specific modelling methods and individual modelling approaches. In order to capture the most relevant semantic primitives that address domain specifics needs, it is necessary to involve both, method engineers as well as domain experts. Due to complexity of conceptualization of a modelling method and development of regarding modelling tool, there is a need of a guideline and corresponding tools supporting actors with different background along this complex process. Based on practical experience in business, more than twenty EU projects and other research initiatives, this paper introduces a toolbox to support the conceptualization of a modelling method. The realized toolbox is introduced and evaluated by two EU-funded research projects in the domain of e-learning and cloud computing as well as additionally by an in-house development project in the area of decision modelling extensions. The paper discusses the evaluation results and derived outlooks. Keywords: Meta-modelling Modelling method design method engineering Conceptualization
Agile modelling
1 Introduction The importance of Modelling Method Engineering is equally rising with the importance of Domain Specific Conceptual Modelling Methods and individual modelling approaches. In addition to existing standards (e.g. BPMN, DMN, CMMN), a growing number of groups around the world design their individual modelling-methods (in accordance with the definition of such a method by [1, 2]) for a variety of application domains. The engineering of such applicable modelling tools as a result of the conceptualization process of modelling methods, is complex, especially when considering the mapping of the entire spectrum from language artefacts and corresponding functionality to concrete implementable and deployable modelling tool capabilities. Besides that, there are branching knowledge domains into more refined and specialized subdomains, where each domain needs to be characterized by its own abstraction and refinement of concepts from reality. Hence, in order to capture the most relevant semantic primitives that address domain specific needs, it is necessary to involve both the method engineers as well as domain experts. Today, there are different approaches, © IFIP International Federation for Information Processing 2016 Published by Springer International Publishing Switzerland 2016. All Rights Reserved J. Horkoff et al. (Eds.): PoEM 2016, LNBIP 267, pp. 317–325, 2016. DOI: 10.1007/978-3-319-48393-1_23
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guidelines and practices for the development of modelling tools available that do not consider the full spectrum of the design and collaborative development of a modelling method, which unavoidably leads to limitations in the conceptualization of it [3]. There is a need of a guideline and corresponding tools supporting method engineers along the complex conceptualization process taking all phases into consideration and ensuring collaboratio
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