Keywords:
Astract: This joint volume of proceedings gathers together papers from the satellite and collocated events with MODELS 2019 including the workshops (listed below), Educators and Doctoral Symposia, and Posters and Tools & Demonstrations sessions. These events were all held during the ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS), September 15th- 20th, 2019. MODELS is the premier conference series for model-based software and systems engineering covering all aspects of modeling from languages and methods to tools and applications, and has done so since 1998. The many workshops at MODELS (see the list below) provide devoted meetings for discussion and sharing of ideas relevant to a specific topic. The Tool and Demonstrations event recognizes the importance of tools to MDE, and includes submissions of both industry and research tools. The Posters session provides a venue for researchers to present and receive feedback on early and ongoing projects, innovative applications of existing tools, and ideas for novel applications in the area of MDE. The Doctoral Symposium and ACM Student Research Competition support student research. The Educators Symposium provides a venue for educators interested in MDE to gather to share ideas and discuss relevant topics and trends. The Doctoral Symposium enables young researchers to present receive feedback on their existing and planned research projects from their fellow students and experienced faculty mentors in the area of MDE.

Keywords:
Astract: The CPS/IoT Ecosystem project aims to build an IoT infrastructure that will be used as a platform for research and education in multiple disciplines related to CPS and IoT. The main objective is to provide a real-world infrastructure, and allow students and researchers explore its capabilities on actual use cases.

Keywords:
Astract: Current trends in manufacturing lead to more intelligent products, produced in global supply chains in shorter cycles, taking more and complex requirements into account. To manage this increasing complexity, cognitive decision support systems, building on data analytic approaches and focusing on the product life cycle, stages seem a promising approach. With two high-tech companies (world market leader in their domains) from Austria, we are approaching this challenge and jointly develop cognitive decision support systems for three real world industrial use cases. Within this position paper, we introduce our understanding of cognitive decision support and we introduce three industrial use cases, focusing on the requirements for cognitive decision support. Finally, we describe our preliminary solution approach for each use case and our next steps

Keywords:
Astract: IoT systems are becoming an increasingly important component of the civil and industrial infrastructure. With the growth of these IoT ecosystems, their complexity is also growing exponentially. In this paper we explore the problem of testing and evaluating large scale IoT systems at design time. To this end we employ simulated sensors with the physical and geographical characteristics of real sensors. Moreover, we propose Sensyml, a simulation environment that is capable of generating big data from cyber-physical models and real-world data. To the best of our knowledge it is the first approach to use a hybrid integration of real and simulated sensor data, that is also capable of being integrated into existing IoT systems. Sensyml is a cloud based Infrastructure-as-a-Service (IaaS) system that enables users to test both functionality and scalability of their IoT applications.

Keywords: Massive Open Online Courses, MOOCs, eLearning, Computer-based Training, Open and Distance-Learning
Astract: Massive open online courses are a fast growing learning eco-system with a wide distribution all over the world. The Vienna University of Technology hasn’t released any MOOC yet, but is planning to do so. Two courses are currently under development, both offered by the Faculty of Informatics. The choice of an appropiate plattform is very important for the success of a MOOC, so this work evaluates the best suitable platform for the Vienna University of Technology. During the work a list of requirements was created with the objective to check if the researched platform is suitable for the planned courses. The requirements do not only focus on the courses themselves but also consider the university’s current resources and goals, such as focusing on non-profit and Open Source distributions. Beside of an overview of different platforms also the historical development of MOOCs is described. For the purpose of this master’s thesis a prototype of MOOC was created on the basis of an Open Source MOOC platform distribution. Outcome of the analysis is that the platform edX is the best choice for implementation in the long-term. As a short-term objective the best choice is an implementation with the university’s own Moodle distribution TUWEL. Also the publishing via the Austrian MOOC Platform iMooX seems to be the best choice taking into account the university’s tight budget and resources. Due to the fact that most stakeholders for this project are mother tongue German, the whole work is written in their native language.