@inproceedings{7669, author = {{Josifovska, Klementina and Yigitbas, Enes and Engels, Gregor}}, booktitle = {{Proceedings of the 21st International Conference on Human-Computer Interaction (HCII 2019)}}, location = {{Orlando, Florida}}, pages = {{398--409}}, publisher = {{Springer, LNCS}}, title = {{{A Digital Twin-Based Multi-Modal UI Adaptation Framework for Assistance Systems in Industry 4.0 }}}, volume = {{11568}}, year = {{2019}}, } @article{7689, author = {{Riebler, Heinrich and Vaz, Gavin Francis and Kenter, Tobias and Plessl, Christian}}, journal = {{ACM Trans. Archit. Code Optim. (TACO)}}, keywords = {{htrop}}, number = {{2}}, pages = {{14:1–14:26}}, publisher = {{ACM}}, title = {{{Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL}}}, doi = {{10.1145/3319423}}, volume = {{16}}, year = {{2019}}, } @misc{8351, author = {{Nutt, Florian}}, title = {{{Vertrauensbildung und Reputationssysteme auf digitalen B2B-Märkten - Ein klassifizierender Überblick}}}, year = {{2019}}, } @article{8424, abstract = {{The vision of On-the-Fly (OTF) Computing is to compose and provide software services ad hoc, based on requirement descriptions in natural language. Since non-technical users write their software requirements themselves and in unrestricted natural language, deficits occur such as inaccuracy and incompleteness. These deficits are usually met by natural language processing methods, which have to face special challenges in OTF Computing because maximum automation is the goal. In this paper, we present current automatic approaches for solving inaccuracies and incompletenesses in natural language requirement descriptions and elaborate open challenges. In particular, we will discuss the necessity of domain-specific resources and show why, despite far-reaching automation, an intelligent and guided integration of end users into the compensation process is required. In this context, we present our idea of a chat bot that integrates users into the compensation process depending on the given circumstances. }}, author = {{Bäumer, Frederik Simon and Kersting, Joschka and Geierhos, Michaela}}, issn = {{2073-431X}}, journal = {{Computers}}, keywords = {{Inaccuracy Detection, Natural Language Software Requirements, Chat Bot}}, location = {{Vilnius, Lithuania}}, number = {{1}}, publisher = {{MDPI AG, Basel, Switzerland}}, title = {{{Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches}}}, doi = {{10.3390/computers8010022}}, volume = {{8}}, year = {{2019}}, } @inproceedings{8495, author = {{Josifovska, Klementina and Yigitbas, Enes and Engels, Gregor}}, booktitle = {{Proceedings of 5th International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS'19)}}, location = {{Montreal, Canada}}, pages = {{25--31}}, publisher = {{IEEE Press}}, title = {{{ Reference Framework for Digital Twins within Cyber-Physical Systems }}}, year = {{2019}}, } @inproceedings{8520, author = {{Jenert, Tobias}}, location = {{Gießen }}, title = {{{Wie unterrichten wir Wirtschaft? Förderung fachbezogener Reflexion angehender Wirtschaftslehrender}}}, year = {{2019}}, } @inproceedings{8529, author = {{Seemann, Nina and Merten, Marie-Luis}}, booktitle = {{DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts}}, editor = {{Sahle, Patrick}}, isbn = {{978-3-00-062166-6}}, location = {{Mainz and Frankfurt am Main, Germany}}, pages = {{352--353}}, publisher = {{Zenodo}}, title = {{{UPB-Annotate: Ein maßgeschneidertes Toolkit für historische Texte}}}, doi = {{10.5281/ZENODO.2596094}}, year = {{2019}}, } @misc{8530, author = {{Beckhoff, Yvonne Maria}}, title = {{{There's an App for that - Ein Literaturüberblick über Erfolgsfaktoren für App-Downloads}}}, year = {{2019}}, } @inproceedings{8532, author = {{Bäumer, Frederik Simon and Buff, Bianca and Geierhos, Michaela}}, booktitle = {{DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts}}, editor = {{Sahle, Patrick}}, isbn = {{978-3-00-062166-6}}, location = {{Mainz and Frankfurt am Main, Germany}}, pages = {{192--193}}, publisher = {{Zenodo}}, title = {{{Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen}}}, doi = {{10.5281/zenodo.2596095}}, year = {{2019}}, } @inproceedings{8534, abstract = {{We propose two protocols for distributed priority queues (denoted by 'heap' for simplicity in this paper) called SKEAP and SEAP. SKEAP realizes a distributed heap for a constant amount of priorities and SEAP one for an arbitrary amount. Both protocols build on an overlay, which induces an aggregation tree on which heap operations are aggregated in batches, ensuring that our protocols scale even for a high rate of incoming requests. As part of SEAP we provide a novel distributed protocol for the k-selection problem that runs in time O(log n) w.h.p. SKEAP guarantees sequential consistency for its heap operations, while SEAP guarantees serializability. SKEAP and SEAP provide logarithmic runtimes w.h.p. on all their operations. SKEAP and SEAP provide logarithmic runtimes w.h.p. on all their operations with SEAP having to use only O(log n) bit messages.}}, author = {{Feldmann, Michael and Scheideler, Christian}}, booktitle = {{Proceedings of the 31st ACM Symposium on Parallelism in Algorithms and Architectures (SPAA)}}, pages = {{287----296}}, publisher = {{ACM}}, title = {{{Skeap & Seap: Scalable Distributed Priority Queues for Constant and Arbitrary Priorities}}}, doi = {{10.1145/3323165.3323193}}, year = {{2019}}, }