@techreport{21569, abstract = {{Die kontinuierliche Weiterentwicklung des eigenen Geschäftsmodells ist für eine Organisation von entscheidender Bedeutung, um wettbewerbsfähig und somit nachhaltig erfolgreich zu bleiben. Während für die Entwicklung neuer Geschäftsmodelle häufig Workshops und einfache Software-Tools zur Visualisierung genutzt werden, wurden in der Forschung bereits erste Ansätze von datengetriebener Geschäftsmodellentwicklung (GME) vorgestellt. Diese Ansätze nutzen dabei Daten, Informationen oder auch Wissen aus internen und externen Unternehmensquellen, um den GME-Prozess zu unterstützen. Innerhalb dieses Beitrags zeigen wir einige Ansätze aus der aktuellen Literatur und analysieren wie ihre Datennutzung den GME-Prozess unterstützt. Weiterhin stellen wir mit dem BMDL Feature Modeler ein Tool vor, welches den GME-Prozess mit Expertenwissen unterstützt.}}, author = {{Gottschalk, Sebastian and Yigitbas, Enes}}, publisher = {{Gesellschaft für Informatik}}, title = {{{Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools und deren Datennutzung}}}, volume = {{1}}, year = {{2021}}, } @inproceedings{21639, abstract = {{The development of effective business models is an essential task in highly competitive markets like mobile ecosystems. Existing development methods for these business models do not specifically focus that the development process profoundly depends on the situation (e.g., market size, regulations) of the mobile app developer. Here, a mismatch between method and situation can lead to poor resource management and longer development cycles. In software engineering, situational method engineering is used for software projects to configure a development method out of a method repository based on the project situation. Analogously, we support creating situation-specific business model development methods with a method base and new user roles. Here, the method engineer obtains the knowledge of the domain expert and stores it in the method base as elements, building blocks, and patterns. The expert knowledge is derived from a grey literature review on mobile development processes. After this, the method engineer constructs the development method based on the described situation of the business developer. We provide an open-source tool and evaluate it by constructing a local event platform's business model development method. }}, author = {{Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}}, booktitle = {{Enterprise, Business-Process and Information Systems Modeling}}, keywords = {{Business Model Development, Situational Method Engineering, Mobile App, Business Model Development Tools}}, publisher = {{Springer}}, title = {{{Situation-specific Business Model Development Methods for Mobile App Developers}}}, doi = {{10.1007/978-3-030-79186-5_17}}, year = {{2021}}, } @inproceedings{20540, author = {{Jovanovikj, Ivan and Thottam, Anu Tony and Joseph Vincent, Vishal and Yigitbas, Enes and Sauer, Stefan and Engels, Gregor}}, booktitle = {{Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development }}, location = {{Vienna}}, pages = {{232--239}}, publisher = {{SCITEPRESS}}, title = {{{A Modeling Workbench for the Development of Situation-specific Test Co-Migration Methods }}}, year = {{2021}}, } @inproceedings{20886, author = {{Nickchen, Tobias and Heindorf, Stefan and Engels, Gregor}}, booktitle = {{Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision}}, location = {{Hawaii}}, pages = {{1994--2002}}, title = {{{Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts}}}, year = {{2021}}, } @inproceedings{22155, author = {{Gottschalk, Sebastian}}, booktitle = {{Advanced Software Engineering. Doctorial Consortium}}, publisher = {{CEUR}}, title = {{{Situation-specific Development of Business Models for Services in Software Ecosystems}}}, year = {{2021}}, } @article{22814, author = {{Weidmann, Nils and Salunkhe, Shubhangi and Anjorin, Anthony and Yigitbas, Enes and Engels, Gregor}}, issn = {{1660-1769}}, journal = {{The Journal of Object Technology}}, title = {{{Automating Model Transformations for Railway Systems Engineering.}}}, doi = {{10.5381/jot.2021.20.3.a10}}, year = {{2021}}, } @inproceedings{22819, author = {{Yigitbas, Enes and Karakaya, Kadiray and Jovanovikj, Ivan and Engels, Gregor}}, booktitle = {{2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)}}, title = {{{Enhancing Human-in-the-Loop Adaptive Systems through Digital Twins and VR Interfaces}}}, doi = {{10.1109/seams51251.2021.00015}}, year = {{2021}}, } @inproceedings{21727, abstract = {{Platform-based business models underlie the success of many of today’s largest, fastest-growing, and most disruptive companies. Despite the success of prominent examples, such as Uber and Airbnb, creating a profitable platform ecosystem presents a key challenge for many companies across all industries. Although research provides knowledge about platforms’ different value drivers (e.g., network effects), companies that seek to transform their current business model into a platform-based one lack an artifact to reduce knowledge boundaries, collaborate effectively, and cope with the complexities and dynamics of platform ecosystems. We address this challenge by developing two artifacts and combining research from variability modeling, business model dependencies, and system dynamics. This paper presents a design science research approach to develop the platform ecosystem modeling language and the platform ecosystem development tool that support researcher and practitioner by visualizing and simulating platform ecosystems. }}, author = {{Vorbohle, Christian and Gottschalk, Sebastian}}, booktitle = {{Proceedings of the 29th European Conference on Information Systems (ECIS)}}, keywords = {{Platform Ecosystems, Platform Ecosystem Modeling Language, Platform Ecosystem Development Tool, Business Models, Design Science}}, location = {{Virtual Conference/Workshop}}, publisher = {{AIS}}, title = {{{Towards Visualizing and Simulating Business Models in Dynamic Platform Ecosystems }}}, year = {{2021}}, } @inproceedings{29235, author = {{Gottschalk, Sebastian and Aziz, Muhammad Suffyan and Yigitbas, Enes and Engels, Gregor}}, booktitle = {{Software Business - 12th International Conference, ICSOB 2021, Drammen, Norway, December 2-3, 2021, Proceedings}}, editor = {{Wang, Xiaofeng and Martini, Antonio and Nguyen-Duc, Anh and Stray, Viktoria}}, pages = {{205–220}}, publisher = {{Springer}}, title = {{{Design Principles for a Crowd-Based Prototype Validation Platform}}}, doi = {{10.1007/978-3-030-91983-2_16}}, volume = {{434}}, year = {{2021}}, } @inproceedings{21593, author = {{Yigitbas, Enes and Jovanovikj, Ivan and Engels, Gregor}}, booktitle = {{Proceedings of the 18th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2021) }}, publisher = {{Springer}}, title = {{{Simplifying Robot Programming using Augmented Reality and End-User Development}}}, year = {{2021}}, } @inproceedings{21707, author = {{Yigitbas, Enes and Sauer, Stefan and Engels, Gregor}}, booktitle = {{Proceedings of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2021)}}, publisher = {{ACM}}, title = {{{Using Augmented Reality for Enhancing Planning and Measurements in the Scaffolding Business}}}, year = {{2021}}, } @inproceedings{22706, author = {{Yigitbas, Enes and Gorissen, Simon and Weidmann, Nils and Engels, Gregor}}, booktitle = {{Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems (MODELS'21) }}, publisher = {{ACM/IEEE}}, title = {{{Collaborative Software Modeling in Virtual Reality}}}, year = {{2021}}, } @inproceedings{21093, abstract = {{Requirements for energy distribution networks are changing fast due to the growing share of renewable energy, increasing electrification, and novel consumer and asset technologies. Since uncertainties about future developments increase planning difficulty, flexibility potentials such as synergies between the electricity, gas, heat, and transport sector often remain unused. In this paper, we therefore present a novel module-based concept for a decision support system that helps distribution network planners to identify cross-sectoral synergies and to select optimal network assets such as transformers, cables, pipes, energy storage systems or energy conversion technology. The concept enables long-term transformation plans and supports distribution network planners in designing reliable, sustainable and cost-efficient distribution networks for future demands.}}, author = {{Kirchhoff, Jonas and Burmeister, Sascha Christian and Weskamp, Christoph and Engels, Gregor}}, booktitle = {{Energy Informatics and Electro Mobility ICT}}, editor = {{Breitner, Michael H. and Lehnhoff, Sebastian and Nieße, Astrid and Staudt, Philipp and Weinhardt, Christof and Werth, Oliver}}, title = {{{Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning}}}, year = {{2021}}, } @inproceedings{22482, author = {{Yigitbas, Enes and Klauke, Jonas and Gottschalk, Sebastian and Engels, Gregor}}, booktitle = {{Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) }}, publisher = {{IEEE}}, title = {{{VREUD - An End-User Development Tool to Simplify the Creation of Interactive VR Scenes}}}, year = {{2021}}, } @inproceedings{28988, author = {{Kirchhoff, Jonas}}, booktitle = {{The 1st Early Career Researchers Workshop Co-Located with ECSS 2021}}, location = {{Madrid}}, title = {{{Providing Decision Makers with Tailored Decision Support Systems}}}, year = {{2021}}, } @inproceedings{22285, author = {{Biermeier, Kai and Yigitbas, Enes and Weidmann, Nils and Engels, Gregor}}, booktitle = {{Proceedings of the International Workshop on Human-Centered Software Engineering for Changing Contexts of Use }}, title = {{{Ensuring User Interface Adaptation Consistency through Triple Graph Grammers}}}, year = {{2021}}, } @inproceedings{19606, abstract = {{Mobile shopping apps have been using Augmented Reality (AR) in the last years to place their products in the environment of the customer. While this is possible with atomic 3D objects, there is is still a lack in the runtime configuration of 3D object compositions based on user needs and environmental constraints. For this, we previously developed an approach for model-based AR-assisted product configuration based on the concept of Dynamic Software Product Lines. In this demonstration paper, we present the corresponding tool support ProConAR in the form of a Product Modeler and a Product Configurator. While the Product Modeler is an Angular web app that splits products (e.g. table) up into atomic parts (e.g. tabletop, table legs, funnier) and saves it within a configuration model, the Product Configurator is an Android client that uses the configuration model to place different product configurations within the environment of the customer. We show technical details of our ready to use tool-chain ProConAR by describing its implementation and usage as well as pointing out future research directions.}}, author = {{Gottschalk, Sebastian and Yigitbas, Enes and Schmidt, Eugen and Engels, Gregor}}, booktitle = {{Human-Centered Software Engineering. HCSE 2020}}, editor = {{Bernhaupt, Regina and Ardito, Carmelo and Sauer, Stefan}}, keywords = {{Product Configuration, Augmented Reality, Model-based, Tool Support}}, location = {{Eindhoven}}, publisher = {{Springer}}, title = {{{ProConAR: A Tool Support for Model-based AR Product Configuration}}}, doi = {{10.1007/978-3-030-64266-2_14}}, volume = {{12481}}, year = {{2020}}, } @inproceedings{19632, author = {{Jovanovikj, Ivan and Yigitbas, Enes and Sauer, Stefan and Engels, Gregor}}, booktitle = {{Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE'20)}}, pages = {{216--224}}, publisher = {{Springer}}, title = {{{Augmented and Virtual Reality Object Repository for Rapid Prototyping }}}, year = {{2020}}, } @inproceedings{21480, author = {{Anjorin, Anthony and Weidmann, Nils and Oppermann, Robin and Fritsche, Lars and Schürr, Andy}}, booktitle = {{Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020}}, editor = {{Syriani, Eugene and Sahraoui, Houari and de Lara, Juan and Abrahao, Silvia}}, isbn = {{9781450370196}}, location = {{Virtual Event, Canada}}, publisher = {{ACM}}, title = {{{Automating test schedule generation with domain-specific languages}}}, doi = {{10.1145/3365438.3410991}}, year = {{2020}}, } @inproceedings{21481, author = {{Weidmann, Nils and Fritsche, Lars and Anjorin, Anthony}}, booktitle = {{Proceedings of the 13th ACM SIGPLAN International Conference on Software Language Engineering, SLE 2020}}, editor = {{Lämmel, Ralf and Tratt, Laurcence and de Lara, Juan}}, isbn = {{9781450381765}}, location = {{Virtual Event, USA}}, publisher = {{ACM}}, title = {{{A search-based and fault-tolerant approach to concurrent model synchronisation}}}, doi = {{10.1145/3426425.3426932}}, year = {{2020}}, }