TY - CONF AU - Krings, Sarah Claudia AU - Yigitbas, Enes ID - 50476 T2 - Proceedings of the 16th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2024) (to appear) TI - TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR ER - TY - JOUR AU - Yigitbas, Enes AU - Klauke, Jonas AU - Gottschalk, Sebastian AU - Engels, Gregor ID - 34402 JF - Journal on Computer Languages (COLA) TI - End-User Development of Interactive Web-Based Virtual Reality Scenes ER - TY - CONF AU - Yigitbas, Enes AU - Engels, Gregor ID - 33511 T2 - 56th Hawaii International Conference on System Science (HICSS 2023) TI - Enhancing Robot Programming through Digital Twin and Augmented Reality ER - TY - CONF AU - Yigitbas, Enes AU - Krois, Sebastian AU - Gottschalk, Sebastian AU - Engels, Gregor ID - 34401 T2 - Proceedings of the 7th International Conference on Human Computer Interaction Theory and Applications (HUCAPP'23) TI - Towards Enhanced Guiding Mechanisms in VR Training through Process Mining ER - TY - CONF AU - Yigitbas, Enes AU - Nowosad, Alexander AU - Engels, Gregor ID - 43424 T2 - Proceedings of the 19th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2023) TI - Supporting Construction and Architectural Visualization through BIM and AR/VR: A Systematic Literature Review ER - TY - CONF AU - Wolters, Dennis AU - Engels, Gregor ID - 34294 SN - 2184-4348 T2 - MODELSWARD'23 TI - Model-driven Collaborative Design of Professional Education Programmes With Extended Online Whiteboards ER - TY - GEN AU - N., N. ID - 45243 TI - Development and Evaluation of a Model-Based UI Prototyping Experimentation Approach ER - TY - CONF AU - Wecker, Daniel AU - Yigitbas, Enes ID - 47050 T2 - Proceedings of the ACM Symposium on Spatial User Interaction (SUI 2023) TI - Minimizing Eye Movements and Distractions in Head-Mounted Augmented Reality through Eye-Gaze Adaptiveness ER - TY - JOUR AU - Yigitbas, Enes AU - Schmidt, Maximilian AU - Bucchiarone, Antonio AU - Gottschalk, Sebastian AU - Engels, Gregor ID - 47051 JF - Science of Computer Programming TI - GaMoVR: Gamification-Based UML Learning Environment in Virtual Reality ER - TY - CONF AU - Schmidt, Leonard AU - Yigitbas, Enes ID - 47057 T2 - Proceedings of the 27th International Workshop on Personalization and Recommendation TI - Transitional Cross Reality Interfaces for Spatially Demanding Search and Collect Tasks ER - TY - CONF AU - Neumayr, Thomas AU - Yigitbas, Enes AU - Augstein, Mirjam AU - Herder, Eelco ID - 47055 T2 - Proceedings of the Mensch & Computer (2023) TI - ABIS 2023 – 27th International Workshop on Personalization and Recommendation ER - TY - CONF AU - Yigitbas, Enes AU - Witalinski, Iwo AU - Gottschalk, Sebastian AU - Engels, Gregor ID - 47150 T2 - Proceedings of the 24th International Conference on Product-Focused Software Process Improvement (PROFES 2023) TI - Virtual Reality Collaboration Platform for Agile Software Development ER - TY - BOOK ED - Kalenborn, Axel ED - Fazal-Baqaie, Masud ED - Linssen, Oliver ED - Volland, Alexander ED - Yigitbas, Enes ED - Engstler, Martin ED - Bertram, Martin ID - 47547 TI - Projektmanagement Und Vorgehensmodelle 2023 - Nachhaltige IT-Projekte VL - Vol. P340 ER - TY - CONF AB - Low-code development platforms (LCDPs) recently sparked interest in both academia and industry, promising to speed up software development and make it accessible to users with little or no programming experience. Thus, the mass-development of software applications that are custom-made to the tasks, skills, and preferences of end users is potentially enabled. Although different LCDPs have been analysed with respect to their functionality and applied to exemplary case studies in recent work, there is a shortage of experience reports in which LCDPs are used to digitize business processes in small and medium manufacturing enterprises. In this paper, we therefore summarize our experience from supporting industry partners to identify business processes that are suitable for being implemented with low-code technologies and to select an LCDP that meets the requirements of the business process while aligning with the overall digitization strategy of the respective company. We also present the opportunities and challenges of the low-code approach as perceived by industry partners. In summary, the low-code approach should be seen as an essential factor for the digitization of business processes in small and medium manufacturing companies. AU - Weidmann, Nils AU - Kirchhoff, Jonas AU - Sauer, Stefan ID - 48368 TI - Digitizing Processes in Manufacturing Companies via Low-Code Software (to appear) ER - TY - CONF AB - As technology advances, Unmanned Aerial Vehicles ( UAVs) have emerged as an innovative solution to a variety of problems in many fields. Automated control of UAVs is most common in large area operations, but they may also increase the versatility of smart home compositions by acting as a physical helper. For example, a voice- controlled UAV could act as an intelligent aerial assistant that can be seamlessly integrated into smart home systems. In this paper, we present a novel Augmented Reality (AR )-based UAV control that provides high-level control over a UAV by automating common UAV missions. In our work, we enable users to operate a small UAV hands-free using only a small set of voice commands. To help users identify the targets, and to understand the UAV ’s intentions, targets within the user’s field of vision are highlighted in an AR interface. We evaluate our approach in a user study (n=26) regarding usability, physical and mental demand, as well as a focus on the users’ preferences. Our study showed that the use of the proposed control was not only accepted, but some users stated that they would use such a system at home to help with some tasks at home AU - Helmert, Robin AU - Hardes, Tobias AU - Yigitbas, Enes ID - 47049 T2 - Proceedings of the ACM Symposium on Spatial User Interaction (SUI 2023) TI - Design and Evaluation of an AR Voice-based Indoor UAV Assistant for Smart Home Scenarios ER - TY - THES AB - Erfolg und Misserfolg eines Unternehmens werden maßgeblich durch getroffene Entscheidungen beeinflusst. Daher verlassen sich Entscheider oft auf Entscheidungsunterstützungssysteme, die durch Datensimulation, -optimierung und -visualisierung bei der Identifizierung von geeigneten Entscheidungen unterstützen. Für eine optimale Unterstützung muss ein Entscheidungsunterstützungssystem (EUS) jedoch auf den Entscheidungsprozess eines Entscheiders abgestimmt sein und verfügbare Daten, Optimierungsziele, persönliche Präferenzen sowie weitere Einflussfaktoren berücksichtigen. EUS-Entwickler können aufgrund der Komplexität und Volatilität von Geschäftsumgebungen allerdings nicht alle potenziellen Entscheidungsprozesse während des Entwurfs eines EUS vorhersehen, wodurch ein EUS einem Entscheider häufig nur unzureichende Anpassungsmöglichkeiten an den individuellen Entscheidungsprozess bietet. Die Einzelanfertigung eines EUS, das auf einen Entscheidungsprozess zugeschnitten ist, ist ein kosten- und zeitintensives Unterfangen aufgrund der begrenzten Verfügbarkeit von Softwareentwicklern oder Missverständnissen zwischen Entwicklern und Entscheidern während der Entwicklung. Daher geben sich Entscheider möglicherweise mit einem handelsüblichen EUS zufrieden, das nicht vollständig mit ihrem Entscheidungsprozess übereinstimmt, suboptimale Entscheidungen begünstigt und so den Unternehmenserfolg negativ beeinflusst. In dieser Arbeit wird ein Ansatz vorgeschlagen, der es Entscheidern ermöglicht, selbst maßgeschneiderte Entscheidungsunterstützungssysteme zu entwickeln und so die Diskrepanz zwischen benötigter und tatsächlicher Entscheidungsunterstützung zu vermeiden. Dazu stellen EUS-Entwickler einen Teil der EUS-Funktionalität als wiederverwendbare Software-Dienste bereit ... AU - Kirchhoff, Jonas ID - 51352 TI - Decision Support Ecosystems: Assisted Low-Code Development of Tailored Decision Support Systems ER - TY - CHAP AU - Kehrbusch, Burkhard AU - Engels, Gregor ED - Vogel-Heuser, Birgit ED - Wimmer, Manuel ID - 28338 T2 - Digital Transformation: Core Technologies and Emerging Topics from a Computer Science Perspective TI - Digital Transformation - Towards flexible human-centric enterprises ER - TY - CONF AB - The development of business models is a challenging task that can be supported with software tools. Here, existing approaches and tools do not focus on the company’s situation in which the development takes place (e.g., financial resources, product type). To tackle this challenge, we used design science research to develop a situation-specific business model development approach that contains three stages: First, existing knowledge in terms of tasks to do (e.g., analyze competitive advantage), and decisions to be made (e.g., social media marketing) are stored in repositories. Second, the knowledge is used to compose a development method based on the company’s situation. Third, the development method is enacted to develop a business model. This demonstration paper presents a tool-support called Situational Business Model Developer that supports all stages of our approach. We release the tool under open-source and evaluate it with a case study on developing business models for mobile apps. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Nowosad, Alexander AU - Engels, Gregor ID - 29839 KW - Business Model Development KW - Situational Method Engineering KW - Tool Support T2 - Proceedings of the 17th International Conference on Wirtschaftsinformatik TI - Situational Business Model Developer: A Tool-support for Situation-specific Business Model Development ER - TY - CONF AB - Due to the proliferation of Virtual Reality (VR) technology, VR is finding new applications in various domains, such as stock trading. Here, traders invest in stocks intending to increase their profit. For this purpose, in conventional stock trading, traders usually make use of 2D applications on desktop or laptop devices. This leads to many drawbacks such as poor visibility due to limited 2D representation, complex interaction due to indirect interaction via mouse and keyboard, or restricted support for collaboration between traders. To overcome these issues, we have developed a novel collaborative, virtual environment for stock trading, which enables stock traders to view financial information and trade stocks with other collaborators. The main results of a usability study indicate that the VR environment, compared to conventional stock trading, shows no significant advantages concerning efficiency and effectiveness, however, we could observe an increased user satisfaction and better collaboration. AU - Yigitbas, Enes AU - Gottschalk, Sebastian AU - Nowosad, Alexander AU - Engels, Gregor ID - 29840 KW - virtual reality KW - stock trading KW - collaboration KW - usability T2 - Proceedings of the 17th International Conference on Wirtschaftsinformatik TI - Development and Evaluation of a Collaborative Stock Trading Environment in Virtual Reality ER - TY - CONF AU - Yigitbas, Enes AU - Karakaya, Kadiray AU - Jovanovikj, Ivan AU - Engels, Gregor ED - Grunske, Lars ED - Siegmund, Janet ED - Vogelsang, Andreas ID - 29927 T2 - Software Engineering 2022, Fachtagung des GI-Fachbereichs Softwaretechnik, 21.-25. Februar 2022, Virtuell TI - Enhancing Human-in-the-Loop Adaptive Systems through Digital Twins and VR Interfaces VL - {P-320} ER - TY - CONF AU - Yigitbas, Enes AU - Gorissen, Simon AU - Weidmann, Nils AU - Engels, Gregor ED - Grunske, Lars ED - Siegmund, Janet ED - Vogelsang, Andreas ID - 29926 T2 - Software Engineering 2022, Fachtagung des GI-Fachbereichs Softwaretechnik, 21.-25. Februar 2022, Virtuell TI - Collaborative Software Modeling in Virtual Reality VL - {P-320} ER - TY - CHAP AU - Yigitbas, Enes AU - Sauer, Stefan AU - Engels, Gregor ED - Vogel-Heuser, Birgit ED - Wimmer, Manuel ID - 29928 T2 - Digital Transformation: Core Technologies and Emerging Topics from a Computer Science Perspective TI - Self-Adaptive Digital Assistance Systems for Work 4.0 ER - TY - CONF AB - To build successful software products, developers continuously have to discover what features the users really need. This discovery can be achieved with continuous experimentation, testing different software variants with distinct user groups, and deploying the superior variant for all users. However, existing approaches do not focus on explicit modeling of variants and experiments, which offers advantages such as traceability of decisions and combinability of experiments. Therefore, our vision is the provision of model-driven continuous experimentation, which provides the developer with a framework for structuring the experimentation process. For that, we introduce the overall concept, apply it to the experimentation on component-based software architectures and point out future research questions. In particular, we show the applicability by combining feature models for modeling the software variants, users, and experiments (i.e., model-driven) with MAPE-K for the adaptation (i.e., continuous experimentation) and implementing the concept based on the component-based Angular framework. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Engels, Gregor ID - 29842 KW - continuous experimentation KW - model-driven KW - component-based software architectures KW - self-adaptation T2 - Proceedings of the 18th International Conference on Software Architecture Companion TI - Model-driven Continuous Experimentation on Component-based Software Architectures ER - TY - CHAP AB - Decision makers increasingly rely on decision support systems for optimal decision making. Recently, special attention has been paid to process-driven decision support systems (PD-DSS) in which a process model prescribes the invocation sequence of software-based decision support services and the data exchange between them. Thus, it is possible to quickly combine available decision support services as needed for optimally supporting the decision making process of an individual decision maker. However, process modelers may accidentally create a process model which is technically well-formed and executable, but contains functional and behavioral flaws such as redundant or missing services. These flaws may result in inefficient computations or invalid decision recommendations when the corresponding PD-DSS is utilized by a decision maker. In this paper, we therefore propose an approach to validate functionality and behavior of a process model representing a PD-DSS. Our approach is based on expressing flaws as anti-patterns for which the process model can be automatically checked via graph matching. We prototypically implemented our approach and demonstrate its applicability in the context of decision making for energy network planning. AU - Kirchhoff, Jonas AU - Engels, Gregor ID - 34023 SN - 1865-1348 T2 - Software Business TI - Anti-pattern Detection in Process-Driven Decision Support Systems VL - 463 ER - TY - CHAP AU - Wolters, Dennis AU - Engels, Gregor ED - Taibi, Davide ED - Kuhrmann, Marco ED - Mikkonen, Tommi ED - Klünder, Jil ED - Abrahamsson, Pekka ID - 34292 SN - 0302-9743 T2 - Product-Focused Software Process Improvement TI - Towards Situational Process Management for Professional Education Programmes VL - 13709 ER - TY - CHAP AB - Decision makers in complex business environments have different goals and constraints and therefore require tailored decision support systems (DSS). Following a low-code approach, a tailored DSS can be created by a decision maker as a process-based composition of existing, interoperable decision support services. Data incompatibilities may be introduced during the design or execution of such a process-driven DSS, e.g., when a service always generates or a decision maker selects data which violates a data constraint of a subsequent service. These incompatibilities cause interrupted or erroneous decision processes. In this paper, we contribute an approach which enables the detection of data incompatibilities in process-driven DSS during process design and execution. Our approach utilizes the JSON Schema specification to define service interfaces and associated type constraints which data produced by services or decision makers can be validated against. We demonstrate our approach in the context of decision support for energy network planning using a prototypical open-source implementation. AU - Kirchhoff, Jonas AU - Gottschalk, Sebastian AU - Engels, Gregor ID - 32792 SN - 1865-1348 T2 - Lecture Notes in Business Information Processing TI - Detecting Data Incompatibilities in Process-Driven Decision Support Systems ER - TY - CHAP AB - Decision support systems are crucial in helping decision makers to quickly identify optimal business decisions in increasingly volatile and complex business environments. However, the ideal DSS for one decision maker may not optimally address the requirements for decision support of another decision maker. This is due to differences between decision makers in business goals, regulatory restrictions or availability of resources such as data. By using a suboptimal DSS, decision makers risk implementing suboptimal decision recommendations which endanger the success of their business. This presents DSS developers with the challenge to implement a customizable DSS which can be tailored to the individual requirements for decision support of a single decision maker. In order to address this challenge, we suggest a decision support ecosystem in which DSS developers, decision makers and other domain experts collaborate using a shared platform to provide and combine reusable decision support services into a tailored DSS. The contribution of our paper is twofold: First, we define the concept of a decision support ecosystem with respect to existing digital business ecosystems and discuss expected benefits and challenges. Second, we present a reference architecture for a shared platform supporting the realization of a decision support ecosystem. We demonstrate our contributions in the example application domain of regional energy distribution network planning. AU - Kirchhoff, Jonas AU - Weskamp, Christoph AU - Engels, Gregor ID - 30941 T2 - Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs TI - Decision Support Ecosystems: Definition and Platform Architecture VL - 447 ER - TY - CONF AB - Corporate decision makers have individual requirements for decision support influenced by business goals, regulatory restrictions or access to resources such as data. Ideally, decision makers could quickly create tailored decision support systems (DSS) themselves which optimally address their individual requirements for decision support. Although service-oriented architectures have been proposed for DSS customization, they are primarily targeting trained software developers and cannot immediately be adapted by decision makers or domain experts with little to no software development knowledge. In this paper, we therefore motivate an assisted process-based service composition approach which can be used by non-developers to create tailored DSS. For assistance during service composition, we contribute a meta-model for the formalization of both decision support requirements and functionality of decision support services. Models created according to the meta-model can be used to detect mismatches between a decision maker’s requirements for decision support and services selected in the service composition representing a DSS. Furthermore, the formalizations may even be used for automated service composition given a decision maker’s decision support requirements. We demonstrate the expressiveness of our meta-model in the domain of regional energy distribution network planning. AU - Kirchhoff, Jonas AU - Weskamp, Christoph AU - Engels, Gregor ED - Bernhaupt, Regina ED - Ardito, Carmelo ED - Sauer, Stefan ID - 33281 SN - 978-3-031-14785-2 T2 - Human-Centered Software Engineering TI - Requirements-Based Composition of Tailored Decision Support Systems VL - 13482 ER - TY - BOOK AU - Fazal-Baqaie, Masud AU - Linssen, Oliver AU - Volland, Alexander AU - Yigitbas, Enes AU - Engstler, Martin AU - Bertram, Martin AU - Kalenborn, Axel ID - 33516 TI - Projektmanagement und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit und verlorene Kulturen? VL - P 327 ER - TY - THES AB - The development of new business models is essential for startups to become successful, as well as for established companies to explore new business opportunities. However, developing such business models is a challenging activity. On the one hand, various tasks of business model development methods (BMDMs) need to be performed. On the other hand, different decisions for the business models (BMs) need to be made. Both have to fit the changeable situation of the organization in which the business model is developed to reduce the risk of developing ineffective business models with low market penetration. Therefore, the BMDMs and the BMs must be developed situation-specific. In this thesis, we conduct a design science research study to design a novel approach for the situation-specific development of business models with three stages. In the first stage, we create a method repository with method fragments for the BMDMs and a canvas model repository with modeling fragments for the BMs. Both repositories are filled by the knowledge of domain experts. Out of these repositories, in the second stage, situation-specific BMDMs for developing situation-specific BMs are composed by a method engineer based on the changeable situation of the organization and enacted by a business developer. The business developer collaborates with other stakeholders during the enaction to create artifacts. Moreover, in the third stage, he receives IT support, provided by development support engineers, in different development steps. AU - Gottschalk, Sebastian ID - 35189 TI - Situation-specific Development of Business Models within Software Ecosystems ER - TY - CONF AB - Companies show an increasing interest in low-code development platforms to facilitate application development by domain experts without sophisticated software development knowledge. Thus, companies aim for a more efficient development of more effective applications since domain experts as so-called citizen developers are no longer limited by the availability and domain knowledge of trained software developers. Nevertheless, efficiency and effectiveness of application development is traditionally also largely influenced by the use of a suitable software development method. Domain experts are, however, not trained in software development methods. This introduces a risk of domain experts creating unusable applications or exceeding the designated time frame of a project (or both). In this paper, we therefore propose an initial version of a situational software development method which supports domain experts in manufacturing companies during the low-code development of applications. The method can be tailored based on situational factors, considering application requirements, features of the used low-code development platform, and characteristics of the development team. We also present feedback corroborating the usefulness of our method and future extension points based on expert interviews. AU - Kirchhoff, Jonas AU - Weidmann, Nils AU - Sauer, Stefan AU - Engels, Gregor ID - 41164 T2 - Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings TI - Situational Development of Low-Code Applications in Manufacturing Companies ER - TY - CONF AU - Gottschalk, Sebastian AU - Bhat, Rakshit AU - Weidmann, Nils AU - Kirchhoff, Jonas AU - Engels, Gregor ID - 41134 T2 - Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings TI - Low-code experimentation on software products ER - TY - CONF AU - Karakaya, Kadiray AU - Yigitbas, Enes AU - Engels, Gregor ID - 32305 T2 - Proceedings of the 9th International Working Conference on Human-Centered Software Engineering (HCSE'22) TI - Automated UX Evaluation for User-Centered Design of VR Interfaces ER - TY - JOUR AB - The development of new business models is essential for startups to become successful, as well as for established companies to explore new business opportunities. However, developing such business models is a continuous challenging activity where different tasks need to be performed, and business decisions need to be made. Both have to fit the constantly changeable situation in which the business model is developed to reduce the risk of developing ineffective business models with low market penetration. Therefore, a method for developing situation-specific business models is needed. As a solution, we refine the concept of situational method engineering (SME) to business model development. SME, in turn, provides means to construct situation-specific development methods out of fragments from a method repository. We develop a concept for the continuous situation-specific development of business models based on design science. The approach uses the roles of a domain expert, a method engineer, and a business developer together with a repository with method fragments for developing business models and a repository with modeling artifacts for supporting the development. Both repositories are filled by utilizing the experience of domain experts. Out of these repositories, situation-specific development methods for developing business models can be continuously composed based on the changeable situation by the method engineer and enacted by the business developer. We implement it as an open-source tool and evaluate its applicability in an industrial case study of developing a business model for a local event platform. Our results show that situation awareness supports the continuous development of business models. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Nowosad, Alexander AU - Engels, Gregor ID - 32307 JF - International Journal on Software and Systems Modeling (SoSyM) KW - Business Model Development KW - Situational Method Engineering KW - Situation-specific KW - Business Model Canvas KW - Continuous Development TI - Continuous Situation-specific Development of Business Models: Knowledge Provision, Method Composition, Method Enactment ER - TY - CONF AB - Due to the increasing influences of a VUCA world, design thinking workshops have been established as a standard technique to build solutions according to uncertain customer needs. Concerning the ongoing pandemic and rising development of solutions across organizations, more and more workshops were conducted online with software support. However, existing software tools insufficiently address the different workshop situations in terms of the process (i.e., fixed tasks to conduct), the place (e.g., static online whiteboards), and people (i.e., synchronous working of all stakeholders). Therefore, we propose a design science study to develop a situation-specific software support that can be configured with flexible development processes, different places, and task-related people. Based on practical experience in existing research projects, we derive the initial design requirements and map them to a set of design principles. Out of that, we design a concept with its implementation as a software tool and point out open challenges. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Nowosad, Alexander AU - Engels, Gregor ID - 32309 KW - design thinking KW - situation-specific KW - cross-organizational KW - software support T2 - Proceedings of the 5th International Workshop on Software-intensive Business (IWSiB'22) TI - Towards Situation-specific Software Support for Cross-organizational Design Thinking Processes ER - TY - CONF AU - Yigitbas, Enes AU - Schmidt, Maximilian AU - Bucchiarone, Antonio AU - Gottschalk, Sebastian AU - Engels, Gregor ID - 33066 T2 - Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022) TI - Gamification-based UML Learning Environment in Virtual Reality ER - TY - CONF AU - Yigitbas, Enes AU - Krois, Sebastian AU - Renzelmann, Timo AU - Engels, Gregor ID - 32308 T2 - Proceedings of the 10th International Conference on Serious Games and Applications for Health (SeGAH'22) TI - Comparative Evaluation of AR-based, VR-based, and Traditional Basic Life Support Training ER - TY - JOUR AU - Weidmann, Nils AU - Yigitbas, Enes AU - Anjorin, Anthony AU - Srivastava, Ankita AU - Jose, Jane ID - 32306 JF - The Journal of Object Technology TI - Human-in-the-Loop Large-Scale Model Transformations with the VICToRy Debugger ER - TY - CONF AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Nowosad, Alexander AU - Engels, Gregor ID - 33517 T2 - Software Business - 13th International Conference, {ICSOB} 2022, Bolzano, Italy, Proceedings TI - Don’t Start from Scratch: A Modularized Architecture for Business Model Development Tools ER - TY - CONF AU - Gottschalk, Sebastian AU - Parvez, Sarmad AU - Yigitbas, Enes AU - Engels, Gregor ID - 33518 T2 - Product-Focused Software Process Improvement - 23rd International Conference, {PROFES} 2022, Jyväskylä, Finland, Proceedings TI - Designing Platforms for Crowd-based Software Prototype Validation: A Design Science Study ER - TY - CONF AU - Buschek, Daniel AU - Hauptmann, Hanna AU - Heuer, Hendrik AU - Loepp, Benedikt AU - Riener, Andreas AU - Yigitbas, Enes ID - 33515 T2 - Proceedings of the Mensch Und Computer 2022 (MuC ’22) TI - UCAI 2022 - 3rd International Workshop on User-Centered Artificial Intelligence ER - TY - JOUR AU - Yigitbas, Enes AU - Gorissen, Simon AU - Weidmann, Nils AU - Engels, Gregor ID - 34006 JF - International Journal on Software and Systems Modeling (SoSyM) TI - Design and Evaluation of a Collaborative UML Modeling Environment in Virtual Reality ER - TY - CONF AU - Yigitbas, Enes ID - 44838 TI - Einsatz und Evaluation von Virtual Reality-Technologie in einem Informatik-Seminar ER - TY - CONF AU - Wolters, Dennis AU - Engels, Gregor ID - 34293 T2 - ICSOB'22 Companion Proceedings TI - Model-driven Design and Management of Professional Education Programmes VL - 3316 ER - TY - GEN AU - N., N. ID - 45242 TI - A Scalable and Extensible Architecture for a Crowd-Based Prototype Validation Platform ER - TY - GEN AU - N., N. ID - 45241 TI - Conception and Implementation of a Situation-specific Design Thinking Tool ER - TY - CONF AU - Krings, Sarah Claudia AU - Yigitbas, Enes AU - Biermeier, Kai AU - Engels, Gregor ID - 30883 T2 - Proceedings of the 14th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2022) TI - Design and Evaluation of AR-Assisted End-User Robot Path Planning Strategies ER - TY - CONF AU - Gottschalk, Sebastian AU - Kirchhoff, Jonas AU - Engels, Gregor ED - Shishkov, Boris ID - 20244 T2 - Business Modeling and Software Design TI - Extending Business Model Development Tools with Consolidated Expert Knowledge ER - TY - CONF AU - Weidmann, Nils AU - Anjorin, Anthony ED - Iovino, Ludovico ED - Michael Kristensen, Lars ID - 27418 T2 - {STAF} 2021 Workshop Proceedings: 9th International Workshop on Bidirectional Transformations, Joint Workshop on Foundations and Practice of Visual Modeling and Data for Model-Driven Engineering, International workshop on {MDE} for Smart IoT Systems, 4th International Workshop on (Meta)Modeling for Healthcare Systems, and 20th International Workshop on {OCL} and Textual Modeling co-located with Software Technologies: Applications and Foundations, Federation of Conferences {(STAF} 2021), Virtual Event / Bergen, Norway, June 21-25, 2021 TI - eMoflon: : Neo - Consistency and Model Management with Graph Databases VL - 2999 ER - TY - GEN AB - 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. AU - Gottschalk, Sebastian AU - Yigitbas, Enes ID - 21569 TI - Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools und deren Datennutzung VL - 1 ER - TY - GEN AB - The invention describes a distributed merchandise management system, in which the client, retailer and the manufacturer are linked by a network. This is implemented by a cloud storage (105), the cloud storage (105) comprising a means (105 a) for storing data, a means for receiving first data from a first network node (110), the first data being associated with a physical object, a means for receiving request data from a second network node (120), a means for receiving second data from a third network node (130), the second data being associated with the first data and comprising at least one data piece adapted to change the first data depending on the received request data, a means for changing the first data based at least in part on the second data and the request data, and a means for sending a changed portion of the first data from the cloud storage (105) to the first network node (110). AU - Göllner, Thomas AU - Schwarz, Jan-Hendrik AU - Gottschalk, Sebastian AU - Sauer, Stefan ID - 21601 TI - Distributed merchandise management system ER - TY - CONF AB - 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. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Nowosad, Alexander AU - Engels, Gregor ID - 21639 KW - Business Model Development KW - Situational Method Engineering KW - Mobile App KW - Business Model Development Tools T2 - Enterprise, Business-Process and Information Systems Modeling TI - Situation-specific Business Model Development Methods for Mobile App Developers ER - TY - JOUR AB - AbstractIn the field of Model-Driven Engineering, Triple Graph Grammars (TGGs) play an important role as a rule-based means of implementing consistency management. From a declarative specification of a consistency relation, several operations including forward and backward transformations, (concurrent) synchronisation, and consistency checks can be automatically derived. For TGGs to be applicable in realistic application scenarios, expressiveness in terms of supported language features is very important. A TGG tool is schema compliant if it can take domain constraints, such as multiplicity constraints in a meta-model, into account when performing consistency management tasks. To guarantee schema compliance, most TGG tools allow application conditions to be attached as necessary to relevant rules. This strategy is problematic for at least two reasons: First, ensuring compliance to a sufficiently expressive schema for all previously mentioned derived operations is still an open challenge; to the best of our knowledge, all existing TGG tools only support a very restricted subset of application conditions. Second, it is conceptually demanding for the user to indirectly specify domain constraints as application conditions, especially because this has to be completely revisited every time the TGG or domain constraint is changed. While domain constraints can in theory be automatically transformed to obtain the required set of application conditions, this has only been successfully transferred to TGGs for a very limited subset of domain constraints. To address these limitations, this paper proposes a search-based strategy for achieving schema compliance. We show that all correctness and completeness properties, previously proven in a setting without domain constraints, still hold when schema compliance is to be additionally guaranteed. An implementation and experimental evaluation are provided to support our claim of practical applicability. AU - Weidmann, Nils AU - Anjorin, Anthony ID - 23525 JF - Formal Aspects of Computing SN - 0934-5043 TI - Schema Compliant Consistency Management via Triple Graph Grammars and Integer Linear Programming ER - TY - CONF AU - Jovanovikj, Ivan AU - Thottam, Anu Tony AU - Joseph Vincent, Vishal AU - Yigitbas, Enes AU - Sauer, Stefan AU - Engels, Gregor ID - 20540 T2 - Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development TI - A Modeling Workbench for the Development of Situation-specific Test Co-Migration Methods ER - TY - CONF AU - Nickchen, Tobias AU - Heindorf, Stefan AU - Engels, Gregor ID - 20886 T2 - Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision TI - Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts ER - TY - CONF AU - Gottschalk, Sebastian ID - 22155 T2 - Advanced Software Engineering. Doctorial Consortium TI - Situation-specific Development of Business Models for Services in Software Ecosystems ER - TY - JOUR AU - Weidmann, Nils AU - Salunkhe, Shubhangi AU - Anjorin, Anthony AU - Yigitbas, Enes AU - Engels, Gregor ID - 22814 JF - The Journal of Object Technology SN - 1660-1769 TI - Automating Model Transformations for Railway Systems Engineering. ER - TY - CONF AU - Yigitbas, Enes AU - Karakaya, Kadiray AU - Jovanovikj, Ivan AU - Engels, Gregor ID - 22819 T2 - 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) TI - Enhancing Human-in-the-Loop Adaptive Systems through Digital Twins and VR Interfaces ER - TY - CONF AU - Weidmann, Nils AU - Engels, Gregor ID - 22959 T2 - Proceedings of the Genetic and Evolutionary Computation Conference TI - Concurrent model synchronisation with multiple objectives ER - TY - CONF AB - 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. AU - Vorbohle, Christian AU - Gottschalk, Sebastian ID - 21727 KW - Platform Ecosystems KW - Platform Ecosystem Modeling Language KW - Platform Ecosystem Development Tool KW - Business Models KW - Design Science T2 - Proceedings of the 29th European Conference on Information Systems (ECIS) TI - Towards Visualizing and Simulating Business Models in Dynamic Platform Ecosystems ER - TY - CONF AU - Gottschalk, Sebastian AU - Aziz, Muhammad Suffyan AU - Yigitbas, Enes AU - Engels, Gregor ED - Wang, Xiaofeng ED - Martini, Antonio ED - Nguyen-Duc, Anh ED - Stray, Viktoria ID - 29235 T2 - Software Business - 12th International Conference, ICSOB 2021, Drammen, Norway, December 2-3, 2021, Proceedings TI - Design Principles for a Crowd-Based Prototype Validation Platform VL - 434 ER - TY - CHAP AB - 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. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Nowosad, Alexander AU - Engels, Gregor ID - 25528 KW - Business Model Development KW - Situational Method Engineering KW - Lean Development KW - Kanban Boards KW - Canvas Models T2 - Product-focused Software Process Improvement TI - Situation- and Domain-specific Composition and Enactment of Business Model Development Methods ER - TY - CONF AU - Yigitbas, Enes AU - Jovanovikj, Ivan AU - Engels, Gregor ID - 21593 T2 - Proceedings of the 18th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2021) TI - Simplifying Robot Programming using Augmented Reality and End-User Development ER - TY - CONF AU - Yigitbas, Enes AU - Sauer, Stefan AU - Engels, Gregor ID - 21707 T2 - Proceedings of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2021) TI - Using Augmented Reality for Enhancing Planning and Measurements in the Scaffolding Business ER - TY - CONF AU - Yigitbas, Enes AU - Gorissen, Simon AU - Weidmann, Nils AU - Engels, Gregor ID - 22706 T2 - Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems (MODELS'21) TI - Collaborative Software Modeling in Virtual Reality ER - TY - CONF AU - Biermeier, Kai AU - Yigitbas, Enes AU - Weidmann, Nils AU - Engels, Gregor ID - 22285 T2 - Proceedings of the International Workshop on Human-Centered Software Engineering for Changing Contexts of Use TI - Ensuring User Interface Adaptation Consistency through Triple Graph Grammers ER - TY - CONF AB - 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. AU - Kirchhoff, Jonas AU - Burmeister, Sascha Christian AU - Weskamp, Christoph AU - Engels, Gregor ED - Breitner, Michael H. ED - Lehnhoff, Sebastian ED - Nieße, Astrid ED - Staudt, Philipp ED - Weinhardt, Christof ED - Werth, Oliver ID - 21093 T2 - Energy Informatics and Electro Mobility ICT TI - Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning ER - TY - THES AB - 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. AU - Schwichtenberg, Bahar ID - 28683 KW - Enterprise Architecture KW - Architectural Design Decisions KW - Open Platforms TI - Modeling and Analyzing Software Ecosystems ER - TY - CONF AU - Yigitbas, Enes AU - Klauke, Jonas AU - Gottschalk, Sebastian AU - Engels, Gregor ID - 22482 T2 - Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) TI - VREUD - An End-User Development Tool to Simplify the Creation of Interactive VR Scenes ER - TY - CONF AU - Kirchhoff, Jonas ID - 28988 T2 - The 1st Early Career Researchers Workshop Co-Located with ECSS 2021 TI - Providing Decision Makers with Tailored Decision Support Systems ER - TY - CONF AU - Nickchen, Tobias AU - Heindorf, Stefan AU - Engels, Gregor ID - 29294 T2 - 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) TI - Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts ER - TY - GEN AU - N., N. ID - 45236 TI - Design and Implementation of a Crowd-based Prototype Validation Platform ER - TY - GEN AU - N., N. ID - 45237 TI - Model-based Continuous Experimentation for Software Product Prototypes ER - TY - GEN AU - N., N. ID - 45239 TI - Lightweight Process Engine for Situation-specific Development of Business Models for Digital Platforms ER - TY - GEN AU - N., N. ID - 45240 TI - Development and Evaluation of a Multi Platform Approach for Augmented Reality Product Configuration ER - TY - GEN AU - N., N. ID - 45238 TI - Model-based Feature Backlog Synchronization for Dual-Track Development Methods ER - TY - CONF AB - 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. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Schmidt, Eugen AU - Engels, Gregor ED - Bernhaupt, Regina ED - Ardito, Carmelo ED - Sauer, Stefan ID - 19606 KW - Product Configuration KW - Augmented Reality KW - Model-based KW - Tool Support T2 - Human-Centered Software Engineering. HCSE 2020 TI - ProConAR: A Tool Support for Model-based AR Product Configuration VL - 12481 ER - TY - CONF AU - Jovanovikj, Ivan AU - Yigitbas, Enes AU - Sauer, Stefan AU - Engels, Gregor ID - 19632 T2 - Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE'20) TI - Augmented and Virtual Reality Object Repository for Rapid Prototyping ER - TY - JOUR AU - Engels, Gregor ID - 29045 JF - Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO) SN - 2366-6145 TI - Der digitale Fußabdruck, Schatten oder Zwilling von Maschinen und Menschen ER - TY - CONF AU - Anjorin, Anthony AU - Weidmann, Nils AU - Oppermann, Robin AU - Fritsche, Lars AU - Schürr, Andy ED - Syriani, Eugene ED - Sahraoui, Houari ED - de Lara, Juan ED - Abrahao, Silvia ID - 21480 SN - 9781450370196 T2 - Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020 TI - Automating test schedule generation with domain-specific languages ER - TY - CONF AU - Weidmann, Nils AU - Fritsche, Lars AU - Anjorin, Anthony ED - Lämmel, Ralf ED - Tratt, Laurcence ED - de Lara, Juan ID - 21481 SN - 9781450381765 T2 - Proceedings of the 13th ACM SIGPLAN International Conference on Software Language Engineering, SLE 2020 TI - A search-based and fault-tolerant approach to concurrent model synchronisation ER - TY - CONF AU - Weidmann, Nils AU - Anjorin, Anthony AU - Cheney, James ED - Hoffmann, Berthold ED - Minas, Mark ID - 21482 SN - 2075-2180 T2 - Proceedings of the Eleventh International Workshop on Graph Computation Models, GCM@STAF 2020 TI - VICToRy: Visual Interactive Consistency Management in Tolerant Rule-based Systems ER - TY - CONF AU - Jovanovikj, Ivan AU - Weidmann, Nils AU - Yigitbas, Enes AU - Anjorin, Anthony AU - Sauer, Stefan AU - Engels, Gregor ED - Babur, Önder ED - Denil, Joachim ED - Vogel-Heuser, Birgit ID - 21483 SN - 1865-0929 T2 - Proceedings of the First International Conference on Systems Modelling and Management, ICSMM 2020 TI - A Model-Driven Mutation Framework for Validation of Test Case Migration ER - TY - CHAP AU - Jazayeri, Bahar AU - Schwichtenberg, Simon AU - Küster, Jochen AU - Zimmermann, Olaf AU - Engels, Gregor ID - 17337 SN - 0302-9743 T2 - Advanced Information Systems Engineering TI - Modeling and Analyzing Architectural Diversity of Open Platforms ER - TY - CHAP AU - Nickchen, Tobias AU - Engels, Gregor AU - Lohn, Johannes ID - 18789 SN - 9783030543334 T2 - Industrializing Additive Manufacturing TI - Opportunities of 3D Machine Learning for Manufacturability Analysis and Component Recognition in the Additive Manufacturing Process Chain ER - TY - CONF AU - Yigitbas, Enes ID - 20514 T2 - ACM SIGWEB Newsletter TI - Model-driven engineering and usability evaluation of self-adaptive user interfaces ER - TY - CONF AU - Yigitbas, Enes AU - Tejedor, Christopher Bernal AU - Engels, Gregor ID - 18021 T2 - Proceedings of the Mensch und Computer 2020 (MuC ’20) TI - Experiencing and Programming the ENIAC in VR ER - TY - CONF AU - Augstein, Mirjam AU - Buschek, Daniel AU - Herder, Eelco AU - Loepp, Benedikt AU - Yigitbas, Enes AU - Ziegler, Jürgen ID - 18022 T2 - Proceedings of the Mensch und Computer 2020 (MuC ’20) TI - UCAI 2020 - 1st International Workshop on User-Centered Artificial Intelligence ER - TY - CONF AU - Yigitbas, Enes AU - Jovanovikj, Ivan AU - Scholand, Janis AU - Engels, Gregor ID - 18109 T2 - Proceedings of the 26th ACM Symposium on Virtual Reality Software and Technology (VRST) TI - VR Training for Warehouse Management ER - TY - CONF AB - 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. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Schmidt, Eugen AU - Engels, Gregor ED - Bernhaupt, Regina ED - Ardito, Carmelo ED - Sauer, Stefan ID - 18249 KW - Product Configuration KW - Augmented Reality KW - Runtime Adaptation KW - Dynamic Software Product Lines T2 - Human-Centered Software Engineering. HCSE 2020 TI - Model-based Product Configuration in Augmented Reality Applications VL - 12481 ER - TY - JOUR AU - Jovanovikj, Ivan AU - Yigitbas, Enes AU - Sauer, Stefan AU - Engels, Gregor ID - 16570 JF - Softwaretechnik-Trends, Proceedings of the 22st Workshop Software-Reengineering & Evolution (WSRE) & 11h Workshop Design for Future (DFF) TI - Challenges in Model-Driven Development of Multi-Platform Augmented Reality Applications ER - TY - CONF AB - The continuous innovation of its business models is an important task for a company to stay competitive. During this process, the company has to validate various hypotheses about its business models by adapting to uncertain and changing customer needs effectively and efficiently. This adaptation, in turn, can be supported by the concept of Software Product Lines (SPLs). SPLs reduce the time to market by deriving products for customers with changing requirements using a common set of features, structured as a feature model. Analogously, we support the process of business model adaptation by applying the engineering process of SPLs to the structure of the Business Model Canvas (BMC). We call this concept a Business Model Decision Line (BMDL). The BMDL matches business domain knowledge in the form of a feature model with customer needs to derive hypotheses about the business model together with experiments for validation. Our approach is effective by providing a comprehensive overview of possible business model adaptations and efficient by reusing experiments for different hypotheses. We implement our approach in a tool and illustrate the usefulness with an example of developing business models for a mobile application. AU - Gottschalk, Sebastian AU - Rittmeier, Florian AU - Engels, Gregor ID - 16933 KW - Business Model Decision Line KW - Business Model Adaptation KW - Hypothesis-driven Adaptation KW - Software Product Line KW - Feature Model T2 - Proceedings of the 22nd IEEE International Conference on Business Informatics TI - Hypothesis-driven Adaptation of Business Models based on Product Line Engineering ER - TY - CONF AB - To build successful products, the developers have to adapt their product features and business models to uncertain customer needs. This adaptation is part of the research discipline of Hypotheses Engineering (HE) where customer needs can be seen as hypotheses that need to be tested iteratively by conducting experiments together with the customer. So far, modeling support and associated traceability of this iterative process are missing. Both, in turn, are important to document the adaptation to the customer needs and identify experiments that provide most evidence to the customer needs. To target this issue, we introduce a model-based HE approach with a twofold contribution: First, we develop a modeling language that models hypotheses and experiments as interrelated hierarchies together with a mapping between them. While the hypotheses are labeled with a score level of their current evidence, the experiments are labeled with a score level of maximum evidence that can be achieved during conduction. Second, we provide an iterative process to determine experiments that offer the most evidence improvement to the modeled hypotheses. We illustrate the usefulness of the approach with an example of testing the business model of a mobile application. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Engels, Gregor ED - Shishkov, Boris ID - 16934 KW - Hypothesis Engineering KW - Model-based KW - Customer Need Adaptation KW - Business Model KW - Product Features T2 - Business Modeling and Software Design TI - Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs VL - 391 ER - TY - CONF AU - Weidmann, Nils AU - Anjorin, Anthony ED - Wehrheim, Heike ED - Cabot, Jordi ID - 17084 SN - 0302-9743 T2 - Proceedings of the 23rd International Conference on Fundamental Approaches to Software Engineering, FASE 2020 TI - Schema Compliant Consistency Management via Triple Graph Grammars and Integer Linear Programming ER - TY - CONF AU - Jovanovikj, Ivan AU - Yigitbas, Enes AU - Sauer, Stefan AU - Engels, Gregor ID - 15604 SN - 978-989-758-400-8 T2 - Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD TI - Concept-based Co-Migration of Test Cases ER - TY - JOUR AU - Jovanovikj, Ivan AU - Yigitbas, Enes AU - Sauer, Stefan AU - Engels, Gregor ID - 15605 JF - Software Engineering 2020 Workshopband SN - 1613-0073 TI - Test Case Co-Migration Method Patterns ER - TY - JOUR AU - Yigitbas, Enes AU - Jovanovikj, Ivan AU - Biermeier, Kai AU - Sauer, Stefan AU - Engels, Gregor ID - 15266 JF - International Journal on Software and Systems Modeling (SoSyM) TI - Integrated Model-driven Development of Self-adaptive User Interfaces ER - TY - CHAP AU - Yigitbas, Enes AU - Jovanovikj, Ivan AU - Sauer, Stefan AU - Engels, Gregor ID - 15267 T2 - Handling Security, Usability, User Experience and Reliability in User-Centered Development Processes - IFIP WG 13.2/13.5 TI - On the Development of Context-aware Augmented Reality Applications ER - TY - CONF AU - Jovanovikj, Ivan AU - Nagaraj, Achyuth AU - Yigitbas, Enes AU - Anjorin, Anthony AU - Sauer, Stefan AU - Engels, Gregor ID - 16274 T2 - Proceedings of the 1st IEEE/ACM International Conference on Automation of Software Test AST TI - Validating Test Case Migration via Mutation Analysis ER - TY - JOUR AB - Modern user interfaces (UIs) are increasingly expected to be plastic, in the sense that they retain a constant level of usability, even when subjected to context changes at runtime. Self-adaptive user interfaces (SAUIs) have been promoted as a solution for context variability due to their ability to automatically adapt to the context-of-use at runtime. The development of SAUIs is a challenging and complex task as additional aspects like context management and UI adaptation have to be covered. In classical model-driven UI development approaches, these aspects are not fully integrated and hence introduce additional complexity as they represent crosscutting concerns. In this paper, we present an integrated model-driven development approach where a classical model-driven development of UIs is coupled with a model-driven development of context-of-use and UI adaptation rules. We base our approach on the core UI modeling language IFML and introduce new modeling languages for context-of-use (ContextML) and UI adaptation rules (AdaptML). The generated UI code, based on the IFML model, is coupled with the context and adaptation services, generated from the ContextML and AdaptMLmodel, respectively. The integration of the generated artifacts, namely UI code, context, and adaptation services in an overall rule-based execution environment, enables runtime UI adaptation. The benefit of our approach is demonstrated by two case studies, showing the development of SAUIs for different application scenarios and a usability study which has been conducted to analyze end-user satisfaction of SAUIs. AU - Yigitbas, Enes AU - Jovanovikj, Ivan AU - Biermeier, Kai AU - Sauer, Stefan AU - Engels, Gregor ID - 29722 IS - 5 JF - Software and Systems Modeling KW - Modelling and Simulation KW - Software SN - 1619-1366 TI - Integrated model-driven development of self-adaptive user interfaces VL - 19 ER -