@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}}, } @inbook{25528, abstract = {{Developing effective business models is a complex process for a company where several tasks (e.g., conduct customer interviews) need to be accomplished, and decisions (e.g., advertisement as a revenue stream) must be made. Here, domain experts can guide the choices of tasks and decisions with their knowledge. Nevertheless, this knowledge needs to match the situation of the company (e.g., financial resources) and the application domain of the product/service (e.g., mobile app) to reduce the risk of developing ineffective business models with low market penetration. This is not covered by one-size-fits-all development methods without tailoring before the enaction. Therefore, we conduct a design science study to create a situation-specific development approach for business models. Based on situational method engineering and our previous work in storing knowledge of methods and models in distinct repositories, this paper shows the situation-specific composition and enaction of business model development methods. First, the method engineer composes the development method out of both repositories based on the situational context. Second, the business developer enacts the method and develops the business model. We implement the approach in a tool and evaluate it with a industrial case study on mobile apps.}}, author = {{Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}}, booktitle = {{Product-focused Software Process Improvement}}, keywords = {{Business Model Development, Situational Method Engineering, Lean Development, Kanban Boards, Canvas Models}}, location = {{Turin}}, publisher = {{Springer}}, title = {{{Situation- and Domain-specific Composition and Enactment of Business Model Development Methods}}}, 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{29590, author = {{Vorbohle, Christian and Gottschalk, Sebastian and Kundisch, Dennis and Engels, Gregor and Wünderlich, Nancy}}, booktitle = {{Tagungsband der contribution at: 17. Internationale Tagung Wirtschaftsinformatik 2022 (WI)}}, location = {{Nürnberg, Germany}}, title = {{{A Procedure Model for Enhancing Ideation in the Collaborative Development of Business Ecosystems}}}, 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{29294, author = {{Nickchen, Tobias and Heindorf, Stefan and Engels, Gregor}}, booktitle = {{2021 IEEE Winter Conference on Applications of Computer Vision (WACV)}}, publisher = {{IEEE}}, title = {{{Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts}}}, doi = {{10.1109/wacv48630.2021.00204}}, 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{20116, author = {{Nouri, Zahra and Wachsmuth, Henning and Engels, Gregor}}, booktitle = {{Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics}}, location = {{Barcelona, Spain}}, pages = {{6264--6276}}, title = {{{Mining Crowdsourcing Problems from Discussion Forums of Workers}}}, year = {{2020}}, } @article{29045, author = {{Engels, Gregor}}, issn = {{2366-6145}}, journal = {{Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO)}}, pages = {{363--370}}, title = {{{Der digitale Fußabdruck, Schatten oder Zwilling von Maschinen und Menschen}}}, doi = {{10.1007/s11612-020-00527-9}}, year = {{2020}}, } @inproceedings{21483, author = {{Jovanovikj, Ivan and Weidmann, Nils and Yigitbas, Enes and Anjorin, Anthony and Sauer, Stefan and Engels, Gregor}}, booktitle = {{Proceedings of the First International Conference on Systems Modelling and Management, ICSMM 2020 }}, editor = {{Babur, Önder and Denil, Joachim and Vogel-Heuser, Birgit}}, isbn = {{9783030581664}}, issn = {{1865-0929}}, location = {{Bergen, Norway}}, publisher = {{Springer}}, title = {{{A Model-Driven Mutation Framework for Validation of Test Case Migration}}}, doi = {{10.1007/978-3-030-58167-1_2}}, year = {{2020}}, } @inbook{17337, author = {{Jazayeri, Bahar and Schwichtenberg, Simon and Küster, Jochen and Zimmermann, Olaf and Engels, Gregor}}, booktitle = {{Advanced Information Systems Engineering}}, isbn = {{9783030494346}}, issn = {{0302-9743}}, title = {{{Modeling and Analyzing Architectural Diversity of Open Platforms}}}, doi = {{10.1007/978-3-030-49435-3_3}}, year = {{2020}}, } @inproceedings{18021, author = {{Yigitbas, Enes and Tejedor, Christopher Bernal and Engels, Gregor}}, booktitle = {{Proceedings of the Mensch und Computer 2020 (MuC ’20)}}, title = {{{Experiencing and Programming the ENIAC in VR}}}, year = {{2020}}, } @inproceedings{18109, author = {{Yigitbas, Enes and Jovanovikj, Ivan and Scholand, Janis and Engels, Gregor}}, booktitle = {{Proceedings of the 26th ACM Symposium on Virtual Reality Software and Technology (VRST)}}, publisher = {{ACM}}, title = {{{VR Training for Warehouse Management }}}, year = {{2020}}, } @inproceedings{18249, abstract = {{Augmented Reality (AR) has recently found high attention in mobile shopping apps such as in domains like furniture or decoration. Here, the developers of the apps focus on the positioning of atomic 3D objects in the physical environment. With this focus, they neglect the configuration of multi-faceted 3D object composition according to the user needs and environmental constraints. To tackle these challenges, we present a model-based approach to support AR-assisted product con-figuration based on the concept of Dynamic Software Product Lines. Our approach splits products (e.g. table) into parts (e.g. tabletop, ta-ble legs, funnier) with their 3D objects and additional information (e.g. name, price). The possible products, which can be configured out of these parts, are stored in a feature model. At runtime, this feature model can be used to configure 3D object compositions out of the product parts and adapt to user needs and environmental constraints. The benefits of this approach are demonstrated by a case study of configuring modular kitchens with the help of a prototypical mobile-based implementation.}}, 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, Runtime Adaptation, Dynamic Software Product Lines}}, location = {{Eindhoven}}, publisher = {{Springer}}, title = {{{Model-based Product Configuration in Augmented Reality Applications}}}, doi = {{10.1007/978-3-030-64266-2_5}}, volume = {{12481}}, year = {{2020}}, } @article{16570, author = {{Jovanovikj, Ivan and Yigitbas, Enes and Sauer, Stefan and Engels, Gregor}}, journal = {{Softwaretechnik-Trends, Proceedings of the 22st Workshop Software-Reengineering & Evolution (WSRE) & 11h Workshop Design for Future (DFF)}}, title = {{{Challenges in Model-Driven Development of Multi-Platform Augmented Reality Applications }}}, year = {{2020}}, }