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- KonferenzbeitragTowards a Virtual Reality-based Process Elicitation System(40 Years EMISA 2019, 2020) Vogel, Jannis; Thomas, OliverToday’s worldwide operating companies must design their processes globally. Stakeholders within a global process cannot know each circumstance that is spread over several areas. However, digitalization and globalization lead to process redesigns that have to be discussed and reflected in process modelling workshops with various stakeholders that are more likely non-modelling experts. Hence, traditional process elicitation techniques such as interviews or modelling workshops meet new challenges in a globalized and digitalized world. A promising approach to encounter them is the use of virtual reality as a technology-based process elicitation technique. We have performed a systematic literature review and identified 32 articles to existing technology-based process elicitation techniques. Based on the identified literature a taxonomy and specific requirements for the virtual reality-based process elicitation system were derived. Additionally, the paper proposes an architecture for a virtual reality-based process elicitation system that includes today’s virtual reality 360-degree recording- and hardware standards.
- KonferenzbeitragQualitative Comparison of Enterprise Architecture Model Maintenance Processes(40 Years EMISA 2019, 2020) Hacks, Simon; Lichter, HorstEnterprise Architecture (EA) is no end in itself but has to provide central, important, and up-to-date information of the organization to its clients. So far, different researchers have elaborated on processes to ensure a (semi-)automated EA model maintenance. For practitioners this raises the question how the processes can be compared to each other. To answer this question, we identified a set of five quality criteria and asked EA researcher and practitioners to rate those for three processes.
- KonferenzbeitragCo-evolution in Business Ecosystems: Findings from Literature(40 Years EMISA 2019, 2020) Riasanow, Tobias; Flötgen, Rob Jago; Greineder, Michael; Möslein, Dominik; Böhm, Markus; Krcmar, HelmutThe innovative use of digital technologies has led to a disruption of well-established business models in many industries. To prevent from being disrupted, organizations must transform. However, studies about digital transformation have primarily focused on intra-organizational dynamics, including processes, structures, and business models. Digital transformation, however, substantially changes inter-organizational behavior, sometimes the entire ecosystem. To examine this phenomenon, we draw on co-evolution theory, which states that changes occur among all interacting organizations, permitting transformations to be driven by both direct interactions and ecosystem feedbacks. Thus, goal of this paper is to provide a structured overview of literature about the co-evolution of ecosystems in management, organizational science, and IS literature. Following the six properties of co-evolution, we develop a framework for the co-evolution in ecosystems, comprising 23 configurations, based on the analysis of 44 articles. Ultimately, we suggest avenues for future research.
- KonferenzbeitragBusiness Process Model Patterns: Classification and Repository of Published Work(40 Years EMISA 2019, 2020) Fellmann, Michael; Koschmider, Agnes; Laue, Ralf; Schoknecht, Andreas; Vetter, ArthurPatterns have gained widespread interest and acceptance in various domains. Originating from architecture, patterns are nowadays also suggested as solution templates for various problems related to Business Process Management. Due to the abundance of pattern works, getting an overview on available works or searching for specific patterns can be very difficult. What is missing is an instrument for easy exploration and search. To mitigate this problem, we classified published works on pattern and developed a repository for business process model pattern works. The repository is publicly available and enables browsing and filtering of pattern works according to criteria recently developed by analyzing 280 pattern works.
- KonferenzbeitragModel-based Testbed Design for Electric Vehicles(40 Years EMISA 2019, 2020) Paczona, Martin; Mayr, Heinrich C.; Prochart, GuenterElectric cars boom. This puts pressure on providing and improving tools and systems for electric car development. Electric vehicle testbeds (EVTs) are such systems: they serve for testing all high voltage vehicle components like batteries, inverters or complete engines and help to reduce the need of cost intensive road tests. EVT users like manufacturers of automobiles, aircrafts or train engines mostly have individual requirements. EVTs are therefore typically tailor-made solutions. Today’s approach to customized testbed (component) design starts with drawing the overall architecture using tools like MS Visio; based here-on, software developers, circuit plan designers, and engineers use their specific low-level design and development environments, obviously with no transformation or generation out of the initial drawing with causes all known challenges of such procedure. This paper presents a novel, innovative and scalable approach to EVT design based on an ontology grounded Domain Specific Modeling Language (DSML). It enables the user to describe the customer requirements in the familiar form. The resulting model can then be used to generate circuit diagrams and software configurations. Such approach not only may reduce development time and cost but may increase the quality of the resulting EVT.
- KonferenzbeitragModel-driven Runtime State Identification(40 Years EMISA 2019, 2020) Wolny, Sabine; Mazak, Alexandra; Wimmer, Manuel; Huemer, ChristianWith new advances such as Cyber-Physical Systems (CPS) and Internet of Things (IoT), more and more discrete software systems interact with continuous physical systems. State machines are a classical approach to specify the intended behavior of discrete systems during development. However, the actual realized behavior may deviate from those specified models due to environmental impacts, or measurement inaccuracies. Accordingly, data gathered at runtime should be validated against the specified model. A first step in this direction is to identify the individual system states of each execution of a system at runtime. This is a particular challenge for continuous systems where system states may be only identified by listening to sensor value streams. A further challenge is to raise these raw value streams on a model level for checking purposes. To tackle these challenges, we introduce a model-driven runtime state identification approach. In particular, we automatically derive corresponding time-series database queries from state machines in order to identify system runtime states based on the sensor value streams of running systems. We demonstrate our approach for a subset of SysML and evaluate it based on a case study of a simulated environment of a five-axes grip-arm robot within a working station.
- KonferenzbeitragEnterprise Information Systems in Academia and Practice: Lessons learned from a MBSE Project(40 Years EMISA 2019, 2020) Adam, Kai; Michael, Judith; Netz, Lukas; Rumpe, Bernhard; Varga, SimonThe development of domain-specific information systems, especially web information systems, takes a certain amount of time, needs intensive testing to ensure a certain quality and lacks the consistency of front- and backend. Using model-based strategies for the creation of information systems helps to overcome these problems by fastening the development process, facilitating testing and ensuring consistency-by-construction. In practice, however, they are still rarely used. In this paper, we show that model-based engineering is beneficial for the creation of an enterprise information system and improves the quality of the resulting product. We present the basic functionalities of our Generator for Enterprise Management (MontiGEM) and discuss identified problems and lessons learned in a project in practice. The generator was developed simultaneously with and for an enterprise management system. Our research shows that the use of generative methods and MBSE improves the adaptability and reusability of parts of the application on the one hand but on the other hand, there are still obstacles that slow down its broad application in practice.
- KonferenzbeitragEnterprise Modelling Research Group at the University of Hagen(40 Years EMISA 2019, 2020) Strecker, StefanOn behalf of the entire team, I present the research programme and research themes pursued by the Enterprise Modelling Research Group at the University of Hagen, Germany.
- Konferenzbeitrag40 Years EMISA - Komplettband(40 Years EMISA 2019, 2020)
- KonferenzbeitragModel-Based Software Engineering at RWTH Aachen University(40 Years EMISA 2019, 2020) Adam, Kai; Michael, Judith; Netz, Lukas; Rumpe, Bernhard; Varga, SimonIn this article, the Software Engineering Research Group of RWTH Aachen University presents its research aim, research topics and some research highlights that have been researched over the last ten years. Furthermore, the relevance of agile, generative and model-based software engineering methods for the special interest group Enterprise Modelling and Information Systems Architectures (SIG-EMISA) is discussed.
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