@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}}, } @misc{45236, author = {{N., N.}}, title = {{{Design and Implementation of a Crowd-based Prototype Validation Platform}}}, year = {{2021}}, } @misc{45237, author = {{N., N.}}, title = {{{Model-based Continuous Experimentation for Software Product Prototypes}}}, year = {{2021}}, } @misc{45239, author = {{N., N.}}, title = {{{Lightweight Process Engine for Situation-specific Development of Business Models for Digital Platforms}}}, year = {{2021}}, } @misc{45240, author = {{N., N.}}, title = {{{Development and Evaluation of a Multi Platform Approach for Augmented Reality Product Configuration}}}, year = {{2021}}, } @misc{45238, author = {{N., N.}}, title = {{{Model-based Feature Backlog Synchronization for Dual-Track Development Methods}}}, 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}}, } @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{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}}, } @inproceedings{21482, author = {{Weidmann, Nils and Anjorin, Anthony and Cheney, James}}, booktitle = {{Proceedings of the Eleventh International Workshop on Graph Computation Models, GCM@STAF 2020}}, editor = {{Hoffmann, Berthold and Minas, Mark}}, issn = {{2075-2180}}, location = {{Online-Workshop}}, pages = {{1--12}}, publisher = {{EPTCS}}, title = {{{VICToRy: Visual Interactive Consistency Management in Tolerant Rule-based Systems}}}, doi = {{10.4204/eptcs.330.1}}, 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}}, } @inbook{18789, author = {{Nickchen, Tobias and Engels, Gregor and Lohn, Johannes}}, booktitle = {{Industrializing Additive Manufacturing}}, isbn = {{9783030543334}}, title = {{{Opportunities of 3D Machine Learning for Manufacturability Analysis and Component Recognition in the Additive Manufacturing Process Chain}}}, doi = {{10.1007/978-3-030-54334-1_4}}, year = {{2020}}, } @inproceedings{20514, author = {{Yigitbas, Enes}}, booktitle = {{ACM SIGWEB Newsletter}}, publisher = {{ACM}}, title = {{{Model-driven engineering and usability evaluation of self-adaptive user interfaces}}}, doi = {{https://doi.org/10.1145/3427478.3427480}}, 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{18022, author = {{Augstein, Mirjam and Buschek, Daniel and Herder, Eelco and Loepp, Benedikt and Yigitbas, Enes and Ziegler, Jürgen}}, booktitle = {{Proceedings of the Mensch und Computer 2020 (MuC ’20)}}, publisher = {{ACM}}, title = {{{UCAI 2020 - 1st International Workshop on User-Centered Artificial Intelligence}}}, 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}}, }