@article{16570, author = {{Jovanovikj, Ivan and Yigitbas, Enes and Sauer, Stefan and Engels, Gregor}}, journal = {{Softwaretechnik-Trends, Proceedings of the 22st Workshop Software-Reengineering & Evolution (WSRE) & 11h Workshop Design for Future (DFF)}}, title = {{{Challenges in Model-Driven Development of Multi-Platform Augmented Reality Applications }}}, year = {{2020}}, } @inproceedings{16933, abstract = {{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.}}, author = {{Gottschalk, Sebastian and Rittmeier, Florian and Engels, Gregor}}, booktitle = {{Proceedings of the 22nd IEEE International Conference on Business Informatics}}, keywords = {{Business Model Decision Line, Business Model Adaptation, Hypothesis-driven Adaptation, Software Product Line, Feature Model}}, location = {{Antwerp}}, publisher = {{IEEE}}, title = {{{Hypothesis-driven Adaptation of Business Models based on Product Line Engineering}}}, doi = {{10.1109/CBI49978.2020.00022}}, year = {{2020}}, } @inproceedings{16934, abstract = {{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.}}, author = {{Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}}, booktitle = {{Business Modeling and Software Design}}, editor = {{Shishkov, Boris}}, keywords = {{Hypothesis Engineering, Model-based, Customer Need Adaptation, Business Model, Product Features}}, location = {{Potsdam}}, pages = {{276--286}}, publisher = {{Springer International Publishing}}, title = {{{Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs}}}, doi = {{10.1007/978-3-030-52306-0_18}}, volume = {{391}}, year = {{2020}}, } @inproceedings{17084, author = {{Weidmann, Nils and Anjorin, Anthony}}, booktitle = {{Proceedings of the 23rd International Conference on Fundamental Approaches to Software Engineering, FASE 2020}}, editor = {{Wehrheim, Heike and Cabot, Jordi}}, isbn = {{9783030452339}}, issn = {{0302-9743}}, location = {{Dublin, Ireland}}, publisher = {{Springer}}, title = {{{Schema Compliant Consistency Management via Triple Graph Grammars and Integer Linear Programming}}}, doi = {{10.1007/978-3-030-45234-6_16}}, year = {{2020}}, } @inproceedings{15604, author = {{Jovanovikj, Ivan and Yigitbas, Enes and Sauer, Stefan and Engels, Gregor}}, booktitle = {{Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD}}, isbn = {{978-989-758-400-8}}, location = {{Valletta}}, title = {{{Concept-based Co-Migration of Test Cases}}}, doi = {{10.5220/0009171404490456}}, year = {{2020}}, } @article{15605, author = {{Jovanovikj, Ivan and Yigitbas, Enes and Sauer, Stefan and Engels, Gregor}}, issn = {{1613-0073}}, journal = {{Software Engineering 2020 Workshopband}}, location = {{Innscbruck}}, title = {{{Test Case Co-Migration Method Patterns}}}, year = {{2020}}, } @inbook{15267, author = {{Yigitbas, Enes and Jovanovikj, Ivan and Sauer, Stefan and Engels, Gregor}}, booktitle = {{Handling Security, Usability, User Experience and Reliability in User-Centered Development Processes - IFIP WG 13.2/13.5}}, publisher = {{Springer, LNCS}}, title = {{{On the Development of Context-aware Augmented Reality Applications }}}, year = {{2020}}, } @inproceedings{16274, author = {{Jovanovikj, Ivan and Nagaraj, Achyuth and Yigitbas, Enes and Anjorin, Anthony and Sauer, Stefan and Engels, Gregor}}, booktitle = {{Proceedings of the 1st IEEE/ACM International Conference on Automation of Software Test AST}}, location = {{Seoul}}, pages = {{31--40}}, publisher = {{ACM}}, title = {{{Validating Test Case Migration via Mutation Analysis }}}, year = {{2020}}, } @inproceedings{16790, author = {{Krings, Sarah Claudia and Yigitbas, Enes and Jovanovikj, Ivan and Sauer, Stefan and Engels, Gregor}}, booktitle = {{Proceedings of the 12th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2020)}}, isbn = {{978-1-4503-7984-7/20/06}}, title = {{{Development Framework for Context-Aware Augmented Reality Applications}}}, doi = {{10.1145/3393672.3398640}}, year = {{2020}}, } @misc{45232, author = {{N., N.}}, title = {{{A Framework for Measurable Value Propositions of Mobile Applications}}}, year = {{2020}}, } @misc{45234, author = {{N., N.}}, title = {{{Model-Based Product Configuration in Augmented Reality Applications}}}, year = {{2020}}, } @misc{45235, author = {{N., N.}}, title = {{{Design and Implementation of a Crowd-based Prototype Validation Platform}}}, year = {{2020}}, } @article{15266, author = {{Yigitbas, Enes and Jovanovikj, Ivan and Biermeier, Kai and Sauer, Stefan and Engels, Gregor}}, journal = {{International Journal on Software and Systems Modeling (SoSyM)}}, publisher = {{Springer}}, title = {{{Integrated Model-driven Development of Self-adaptive User Interfaces }}}, year = {{2020}}, } @article{17339, author = {{Carmona, Josep and Engels, Gregor and Kumar, Akhil and Reichert, Manfred}}, issn = {{0306-4379}}, journal = {{Information Systems}}, pages = {{238--239}}, title = {{{Special issue: Selected papers of BPM 2017}}}, doi = {{10.1016/j.is.2019.06.001}}, year = {{2019}}, } @inproceedings{17342, author = {{Engels, Gregor and Burgueno, Loli and Pretschner, Alexander and Voss, Sebastian and Chaudron, Michel and Kienzle, Jörg and Völter, Markus and Gérard, Sébastien and Zahedi, Mansooreh and Bousse, Erwan and Rensink, Arend and Polack, Fiona and Kappel, Gerti}}, isbn = {{9781728151250}}, title = {{{2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)}}}, doi = {{10.1109/models-c48269.2019}}, year = {{2019}}, } @article{17343, author = {{Engels, Gregor and Becker, Christoph and Feenberg, Andrew and Ferrario, Maria Angela and Fitzpatrick, Geraldine}}, journal = {{Dagstuhl Reports 9(7)}}, title = {{{Values in Computing (Dagstuhl Seminar 19291)}}}, doi = {{10.4230/DAGREP.9.7.40}}, year = {{2019}}, } @inproceedings{9275, abstract = {{In the last years, store-oriented software ecosystems are gaining more and more attention from a business perspective. In these ecosystems, third-party developers upload extensions to a store which can be downloaded by end users. While the functional scope of such ecosystems is relatively similar, the underlying business models differ greatly in and between their different product domains (e.g. Mobile Phone, Smart TV). This variability, in turn, makes it challenging for store providers to find a business model that fits their own needs. To handle this variability, we introduce the Business Variability Model (BVM) for modeling business model decisions. The basis of these decisions is the analysis of 60 store-oriented software ecosystems in eight different product domains. We map their business model decisions to the Business Model Canvas, condense them to a variability model and discuss particular variants and their dependencies. Our work provides store providers a new approach for modeling business model decisions together with insights of existing business models. This, in turn, supports them in creating new and improving existing business models.}}, author = {{Gottschalk, Sebastian and Rittmeier, Florian and Engels, Gregor}}, booktitle = {{Business Modeling and Software Design}}, editor = {{Shishkov, Boris}}, keywords = {{Software Ecosystems, Business Models, Variabilities}}, location = {{Lisbon}}, pages = {{153--169}}, publisher = {{Springer International Publishing}}, title = {{{Business Models of Store-Oriented Software Ecosystems: A Variability Modeling Approach}}}, doi = {{10.1007/978-3-030-24854-3_10}}, year = {{2019}}, } @inproceedings{9276, author = {{Yigitbas, Enes and Josifovska, Klementina and Jovanovikj, Ivan and Kalinci, Ferhat and Anjorin, Anthony and Engels, Gregor}}, booktitle = {{Proceedings of the 11th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2019)}}, location = {{Valencia}}, pages = {{13:1----13:7}}, title = {{{Component-Based Development of Adaptive User Interfaces }}}, year = {{2019}}, } @inbook{7430, author = {{Rittmeier, Florian and Engels, Gregor and Teetz, Alexander}}, booktitle = {{Business Process Management Workshops}}, editor = {{Daniel, Florian and Sheng, Quan Z. and Motahari, Hamid}}, isbn = {{9783030116408}}, issn = {{1865-1348}}, pages = {{531--542}}, publisher = {{Springer International Publishing}}, title = {{{Process Weakness Patterns for the Identification of Digitalization Potentials in Business Processes}}}, doi = {{10.1007/978-3-030-11641-5_42}}, volume = {{342}}, year = {{2019}}, } @inproceedings{7636, abstract = {{Self-stabilizing overlay networks have the advantage of being able to recover from illegal states and faults. However, the majority of these networks cannot give any guarantees on their functionality while the recovery process is going on. We are especially interested in searchability, i.e., the functionality that search messages for a specific node are answered successfully if a node exists in the network. In this paper we investigate overlay networks that ensure the maintenance of monotonic searchability while the self-stabilization is going on. More precisely, once a search message from node u to another node v is successfully delivered, all future search messages from u to v succeed as well. We extend the existing research by focusing on skip graphs and present a solution for two scenarios: (i) the goal topology is a super graph of the perfect skip graph and (ii) the goal topology is exactly the perfect skip graph. }}, author = {{Luo, Linghui and Scheideler, Christian and Strothmann, Thim Frederik}}, booktitle = {{Proceedings of the 2019 IEEE 33rd International Parallel and Distributed Processing Symposium (IPDPS '19)}}, location = {{Rio de Janeiro, Brazil}}, title = {{{MultiSkipGraph: A Self-stabilizing Overlay Network that Maintains Monotonic Searchability}}}, year = {{2019}}, }