GoalDAG – ArchiMate Integration

Organizational alignment is an important issue in various interest areas such as Strategy, Business Process Management, Requirements Engineering, and Enterprise Architecture. From IT perspective the most holistic approach on alignment and control is Enterprise Architecture. Enterprise Architecture's eminent standard framework is TOGAF with companion architecture modeling language ArchiMate. Although ArchiMate proposes Motivation Extension to facilitate strategic alignment, this extension does not offer any facility to verify and/or validate the architecture model. Moreover, the Motivation Extension proposes its model elements to be linked to the core elements only through the stakeholder element. This paper proposes an ArchiMate Profile for GoalDAG. GoalDAG is a simple goal model that can be linked to the different model elements seamlessly and enables to validate the existing model. To represent GoalDAG integration with Enterprise Architecture, ArchiMate GoalDAG profile is developed and exemplified through TOGAF's ArchiSurance fictitious case study

Integrating Process Modeling Methodology, Language and Tool – A Design Science Approach

Part 5: Enterprise Modelling and Information SystemsInternational audienceProviding high quality process models in a timely manner can be of major impact on almost all process management projects. Modeling methodologies in the form of normative procedure models and process modeling guidelines are available to facilitate this cause. Modeling languages and according tools, however, do neglect the available methodologies. Our work searches to close this research gap by proposing a modeling environment that integrates insights from modeling methodologies with a modeling language and a tool. Main features are a simple modeling language that generalizes most existing languages, four layers of abstraction and semantic standardization through a glossary and use of attributes. Our approach allows for rapid preparation of modeling activities and ensures high model quality during all modeling phases, thus minimizing rework of the models. The prototype was evaluated and improved during two practical projects