@inproceedings{44838,
  author       = {{Yigitbas, Enes}},
  publisher    = {{die hochschullehre Jahrgang 8/2022}},
  title        = {{{Einsatz und Evaluation von Virtual Reality-Technologie in einem Informatik-Seminar}}},
  year         = {{2022}},
}

@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}},
}

@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{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{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{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{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}},
}

@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}},
}

