http://dl.gi.de/handle/20.500.12116/23467 Thu, 23 Jul 2026 07:14:15 GMT 2026-07-23T07:14:15Z http://dl.gi.de:80/bitstream/id/cb440a34-5372-4392-897a-313eb43589db/ http://dl.gi.de/handle/20.500.12116/23467 http://dl.gi.de/handle/20.500.12116/23473 Evolutionary Method Engineering – A Case Study in Meta Modeling Becker, Jörg; Seidel, Stefan; Pfeiffer, Daniel; Janiesch, Christian Brockmans, Saartje; Jung, Jürgen; Sure, York Meta modeling is a widely established means for developing conceptual modeling methods (CMM). Here, we show how a CMM for the structured conceptual design of management information systems has been developed in an evolutionary process based on meta modeling. The aim of management information systems is to satisfy the information need managers have to successfully accomplish their tasks. The quality of management decisions is highly dependent on the information they are based on. A structured conceptual design of management information systems is a crucial task that has to precede their implementation and monitoring. Several conceptual modeling methods have been developed in order to support the specification of data warehouse structures and management information systems. However, none of them was found to be appropriate to bridge the communication gap in the process of requirements analysis. Thus, in an ongoing research effort, a CMM has been designed to adequately support the conceptual design of management information systems. Several case studies were conducted and in an iterative process the findings were incorporated to improve the initial CMM. The result of this process is a CMM quite different to the original one. The aim of this paper is to elaborate on the evolutionary development of a CMM using meta modeling and to show how it has successfully been applied in multiple case studies. Sun, 01 Jan 2006 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/23473 2006-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/23475 Consequences of Meta-Model Modifications within Model Configuration Management Weller, Jens; Esswein, Werner Brockmans, Saartje; Jung, Jürgen; Sure, York Today, conceptual models are intensively used in the information systems discipline. They can support the development and adaptation of software systems as well as the (re-)design of organizations. As conceptual models change during their lifetime, there is a need to manage different version of models. Thus in the past years, findings in software configuration management has been transferred to the conceptual modeling field. In this paper, we will assign the experiences made in model configuration management to the meta-modeling field. We discuss consequences of meta-model modifications and analyze the process of migrating related conceptual models to a modified meta-model version. Sun, 01 Jan 2006 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/23475 2006-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/23476 Meta-Modeling and Meta-CASE Tools – A Silver Bullet for Model-Driven HMI Development? Bock, Carsten Brockmans, Saartje; Jung, Jürgen; Sure, York Due to the increasing complexity of automotive human-machine interfaces (HMI) the development of appropriate user interfaces requires powerful development processes as well as easy-to-use software tools. However, in comparison to domains like embedded system development suitable software tool kits are missing in the field of HMI development. Actually meta-modeling and domain-specific languages represent many promising beginnings to create non-generic tool support for individual modeling tasks. Therefore, this paper presents a model-driven HMI development process and describes the utilization of visual domain-specific languages in this process. Thereby experiences with using current meta-CASE tools as well as standard office applications for creating electronic specifications are presented. Based on these experiences requirements for future meta-CASE tools are derived. The suggested enhancements could pave the way to increased acceptance of model-driven approaches among HMI developers and could consequently allow for overcoming today’s urging challenges in complex networked development processes. Sun, 01 Jan 2006 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/23476 2006-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/23477 Meta-modeling using Space – Understanding models in terms of locations and movements Gulden, Jens Brockmans, Saartje; Jung, Jürgen; Sure, York Sun, 01 Jan 2006 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/23477 2006-01-01T00:00:00Z