Sascha Alpers, Christoph Becker, Andreas Oberweis and Thomas Schuster, IEEE, 2015

The rise of micro services as architectural pattern creates a bunch of interesting opportunities for software architectures of modelling editors and additional services. Main advantages are the scalability in collaborative distributed scenarios and enhanced possibilities regarding service development and operation. Throughout this article, we will illustrate how modelling editors and additional services can be build based on micro services. Our tooling will focus on business process modelling. We will also strive to highlight how architectures of this kind can enact collaborative modelling techniques, increase reuse of utilized service components and improve their integration into lightweight user interfaces, for example in mobile devices.

Sascha Alpers, Christoph Becker and Esmahan Eryilmaz, 2015

Sascha Alpers, Christoph Becker, Esmahan Eryilmaz and Thomas Schuster, Springer International Publishing, 2014

Christoph Becker and Thomas Schuster, Springer Berlin Heidelberg, 2013

Rapidly altering market requirements foster shortened evolution cycles of business processes. Regarding human resources these requirements can be integrated in business process models by usage of capability descriptions. Matching these descriptions with pre-existing profiles of human resources is reasonable. In this article an innovative approach for efficient management of further education in alignment to business process requirements will be introduced. Areas for improvement can be revealed by using enhanced modelling methods that allow the calculation of requirements for the execution of business process tasks. In order to enable the allocation of learning modules according to capability gaps this article presents a formalized representation for learning objectives of further education modules. Furthermore an algorithmic technique that matches learning objectives to capability descriptions to improve cost efficient selection of further education modules is proposed. In consequence this method enables an improved allocation of appropriate further education modules and forms the basis for automated decision support.