@inbook{30941, abstract = {{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.}}, author = {{Kirchhoff, Jonas and Weskamp, Christoph and Engels, Gregor}}, booktitle = {{Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs}}, publisher = {{Springer}}, title = {{{Decision Support Ecosystems: Definition and Platform Architecture}}}, doi = {{10.1007/978-3-031-06530-9_8}}, volume = {{447}}, year = {{2022}}, } @inproceedings{33281, abstract = {{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.}}, author = {{Kirchhoff, Jonas and Weskamp, Christoph and Engels, Gregor}}, booktitle = {{Human-Centered Software Engineering}}, editor = {{Bernhaupt, Regina and Ardito, Carmelo and Sauer, Stefan}}, isbn = {{978-3-031-14785-2}}, pages = {{150–162}}, publisher = {{Springer International Publishing}}, title = {{{Requirements-Based Composition of Tailored Decision Support Systems}}}, doi = {{10.1007/978-3-031-14785-2_10}}, volume = {{13482}}, year = {{2022}}, } @book{33516, author = {{Fazal-Baqaie, Masud and Linssen, Oliver and Volland, Alexander and Yigitbas, Enes and Engstler, Martin and Bertram, Martin and Kalenborn, Axel}}, publisher = {{Gesellschaft für Informatik e.V.}}, title = {{{Projektmanagement und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit und verlorene Kulturen?}}}, volume = {{P 327}}, year = {{2022}}, } @phdthesis{35189, abstract = {{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.}}, author = {{Gottschalk, Sebastian}}, publisher = {{Paderborn University}}, title = {{{Situation-specific Development of Business Models within Software Ecosystems}}}, doi = {{10.17619/UNIPB/1-1644}}, year = {{2022}}, } @techreport{36227, author = {{Hammer, Barbara and Hüllermeier, Eyke and Lohweg, Volker and Schneider, Alexander and Schenck, Wolfram and Kuhl, Ulrike and Braun, Marco and Pfeifer, Anton and Holst, Christoph-Alexander and Schmidt, Malte and Schomaker, Gunnar and Tornede, Tanja}}, title = {{{Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens}}}, doi = {{10.4119/unibi/2965622}}, year = {{2022}}, } @inproceedings{30883, author = {{Krings, Sarah Claudia and Yigitbas, Enes and Biermeier, Kai and Engels, Gregor}}, booktitle = {{Proceedings of the 14th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2022)}}, title = {{{Design and Evaluation of AR-Assisted End-User Robot Path Planning Strategies}}}, year = {{2022}}, } @inproceedings{41164, abstract = {{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.}}, author = {{Kirchhoff, Jonas and Weidmann, Nils and Sauer, Stefan and Engels, Gregor}}, booktitle = {{Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings}}, publisher = {{ACM}}, title = {{{Situational Development of Low-Code Applications in Manufacturing Companies}}}, doi = {{10.1145/3550356.3561560}}, year = {{2022}}, } @inproceedings{32305, author = {{Karakaya, Kadiray and Yigitbas, Enes and Engels, Gregor}}, booktitle = {{Proceedings of the 9th International Working Conference on Human-Centered Software Engineering (HCSE'22)}}, publisher = {{Springer}}, title = {{{Automated UX Evaluation for User-Centered Design of VR Interfaces}}}, year = {{2022}}, } @article{32307, abstract = {{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.}}, author = {{Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}}, journal = {{International Journal on Software and Systems Modeling (SoSyM) }}, keywords = {{Business Model Development, Situational Method Engineering, Situation-specific, Business Model Canvas, Continuous Development}}, title = {{{Continuous Situation-specific Development of Business Models: Knowledge Provision, Method Composition, Method Enactment}}}, year = {{2022}}, } @inproceedings{32309, abstract = {{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. }}, author = {{Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}}, booktitle = {{Proceedings of the 5th International Workshop on Software-intensive Business (IWSiB'22) }}, keywords = {{design thinking, situation-specific, cross-organizational, software support}}, publisher = {{ACM}}, title = {{{Towards Situation-specific Software Support for Cross-organizational Design Thinking Processes}}}, year = {{2022}}, } @inproceedings{33066, author = {{Yigitbas, Enes and Schmidt, Maximilian and Bucchiarone, Antonio and Gottschalk, Sebastian and Engels, Gregor}}, booktitle = {{Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022) }}, publisher = {{ACM / IEEE}}, title = {{{Gamification-based UML Learning Environment in Virtual Reality}}}, year = {{2022}}, } @inproceedings{32308, author = {{Yigitbas, Enes and Krois, Sebastian and Renzelmann, Timo and Engels, Gregor}}, booktitle = {{Proceedings of the 10th International Conference on Serious Games and Applications for Health (SeGAH'22) }}, publisher = {{IEEE}}, title = {{{Comparative Evaluation of AR-based, VR-based, and Traditional Basic Life Support Training}}}, year = {{2022}}, } @article{32306, author = {{Weidmann, Nils and Yigitbas, Enes and Anjorin, Anthony and Srivastava, Ankita and Jose, Jane}}, journal = {{The Journal of Object Technology }}, title = {{{Human-in-the-Loop Large-Scale Model Transformations with the VICToRy Debugger }}}, year = {{2022}}, } @inproceedings{33517, author = {{Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}}, booktitle = {{Software Business - 13th International Conference, {ICSOB} 2022, Bolzano, Italy, Proceedings }}, publisher = {{Springer}}, title = {{{Don’t Start from Scratch: A Modularized Architecture for Business Model Development Tools}}}, year = {{2022}}, } @inproceedings{33518, author = {{Gottschalk, Sebastian and Parvez, Sarmad and Yigitbas, Enes and Engels, Gregor}}, booktitle = {{Product-Focused Software Process Improvement - 23rd International Conference, {PROFES} 2022, Jyväskylä, Finland, Proceedings }}, title = {{{Designing Platforms for Crowd-based Software Prototype Validation: A Design Science Study}}}, year = {{2022}}, } @inproceedings{33515, author = {{Buschek, Daniel and Hauptmann, Hanna and Heuer, Hendrik and Loepp, Benedikt and Riener, Andreas and Yigitbas, Enes}}, booktitle = {{Proceedings of the Mensch Und Computer 2022 (MuC ’22) }}, title = {{{UCAI 2022 - 3rd International Workshop on User-Centered Artificial Intelligence}}}, year = {{2022}}, } @article{34006, author = {{Yigitbas, Enes and Gorissen, Simon and Weidmann, Nils and Engels, Gregor}}, journal = {{International Journal on Software and Systems Modeling (SoSyM) }}, title = {{{Design and Evaluation of a Collaborative UML Modeling Environment in Virtual Reality}}}, year = {{2022}}, } @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}}, } @inproceedings{20244, author = {{Gottschalk, Sebastian and Kirchhoff, Jonas and Engels, Gregor}}, booktitle = {{Business Modeling and Software Design}}, editor = {{Shishkov, Boris}}, location = {{Sofia}}, title = {{{Extending Business Model Development Tools with Consolidated Expert Knowledge }}}, doi = {{10.1007/978-3-030-79976-2_1}}, year = {{2021}}, } @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}}, }