@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}},
}

@phdthesis{28683,
  abstract     = {{In den letzten Jahren haben sich Software-Ökosysteme als neue, erfolgreiche Geschäftsform etabliert. Unternehmen agieren hierbei als Anbieter von Software-Plattformen, auf denen Drittanbieter Softwarelösungen für den Markt anbieten können.  Etablierte Beispiele sind hierbei sogenannte App-Stores, die z.B. von Google oder Apple angeboten werden.

Beim Aufbau von Software-Ökosystemen müssen vom Plattformanbieter viele architektonische Entwurfsentscheidungen getroffen werden. Bisher gibt es keine Architekturrichtlinien und -werkzeuge, die den Entwurf einer Ökosystemarchitektur unterstützen. Dadurch fehlt hier systematisches, wiederverwendbares Wissen. Plattformanbieter müssen auf ad-hoc Entscheidungen zurückgreifen. Dies kann dann zu Problemen im Betrieb der Software-Plattformen führen, zu erhöhten Ausfallrisiken und Mehrkosten.

Der Mangel an Architekturwissen manifestiert sich konkret in zwei Gruppen von Herausforderungen: Erstens fehlt eine Wissensbasis zu Architekturalternativen und zweitens fehlt es an methodischem Wissen zu Entwicklung und Betrieb von Software-Ökosystemen. Eine Architekturwissensbasis würde Orientierungshilfen zu den Bestandteilen von Software-Ökosystemen und deren Abhängigkeiten geben, während methodisches Wissen die Erstellung dieser Systeme erleichtern würde.

In der Dissertation werden diese Herausforderungen durch die Entwicklung des Frameworks SecoArc für die Modellierung von Software-Ökosystemen angegangen. Der Beitrag der Dissertation ist zweifach: 
1.	Das SecoArc-Framework umfasst eine Architekturwissensbasis, die wiederverwendbare Architekturentwurfsentscheidungen
von Software-Ökosystemen enthält. Die Wissensbasis wurde entwickelt, indem das Architekturwissen bestehender Ökosysteme sowie aus existierender Fachliteratur ermittelt wurde und in einer Produktlinie für Software-Ökosysteme konsolidiert wurde. Die Produktlinie umfasst architektonische Gemeinsamkeiten und Variabilitäten von Software-Ökosystemen. 
2.	Das SecoArc-Framework liefert methodisches Wissen, um die Ökosystemarchitektur in Modellen zu entwerfen und zu analysieren. Dieses Wissen wurde entwickelt, indem drei Architekturmuster identifiziert wurden. Jedes Muster erfasst unterschiedliche Beziehungen zwischen architektonischen Entwurfsentscheidungen zu den Qualitätsmerkmalen einer Ökosystemgesundheit und der Erreichung von Geschäftszielen. 

Die Architekturmuster und die Produktlinie wurden dazu genutzt, ein Modellierungsframework zu entwickeln und in Form eines Prototypen umzusetzen, welches einen Entwurfsprozess, eine Modellierungssprache und eine Architekturanalysetechnik umfasst. Es erleichtert das Modellieren, Analysieren und Vergleichen von Ökosystemarchitekturen.

Die Ergebnisse der Dissertation wurden im Rahmen von zwei Studien evaluiert. In der ersten Validierungsstudie wurden das Framework sowie der Prototyp verwendet, um zwei alternative Ökosystemarchitekturen zu entwerfen und zu analysieren. In der zweiten Studie wurde eine Analyse von existierenden Ökosystemen basierend auf den architektonischen Variabilitäten des Frameworks durchgeführt.}},
  author       = {{Schwichtenberg, Bahar}},
  keywords     = {{Enterprise Architecture, Architectural Design Decisions, Open Platforms}},
  title        = {{{Modeling and Analyzing Software Ecosystems}}},
  doi          = {{10.17619/UNIPB/1-1270 }},
  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{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}},
}

@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}},
}