EMMSAD 2015 will be held 8-9 June before CAiSE 2015 in Stockholm, Sweden.
The field of information systems analysis and design includes numerous information modelling methods and notations (e.g. ER, ORM, UML, ArchiMate, EPC, BPMN, DEMO) that are typically evolving. Even with some attempts to standardize (e.g. UML for object-oriented software design), new modelling methods are constantly being introduced, many of which differ only marginally from previous approaches. These ongoing changes significantly impact the way information systems, enterprises, and business processes are being analyzed and designed in practice.
The EMMSAD conference focuses on exploring, evaluating, and enhancing modelling methods and methodologies for the analysis and design of information systems, enterprises, and business processes. Though the need for such studies is well recognized, there is a paucity of such research in the literature. The objective of the EMMSAD conference series is to provide a forum for researchers and practitioners interested in modelling methods for systems analysis and design to meet, and exchange research ideas and results. It also provides the participants an opportunity to present their research papers and experience reports, and to take part in open discussions.
Whereas modeling techniques traditionally have been used to create intermediate artifacts in systems analysis and design, modern modeling methodologies take a more active approach. For instance in Business Process Management (BPM), Model-driven Software Engineering, Domain specific modeling (DSM), Enterprise Architecture (EA) , Enterprise modeling (EM), Interactive Models and Active Knowledge Modelling , the models are used directly as part of the information system of the organization. At the same time, similar modeling techniques are also used for sense-making and communication, model simulation, quality assurance, and requirements specification in connection to more traditional forms of information systems and enterprise development. Since modeling techniques are used in such a large variety of tasks with different goals, it is hard to assess whether a model is sufficiently good to achieve the goals. To provide guidance in this process, knowledge for understanding quality of models and modeling languages is needed.