@article{34709,
  author       = {{Roig, Dailé Osorio and Rathgeb, Christian and Drozdowski, Pawel and Terhörst, Philipp and Struc, Vitomir and Busch, Christoph}},
  journal      = {{IEEE Trans. Biom. Behav. Identity Sci.}},
  number       = {{2}},
  pages        = {{263–275}},
  title        = {{{An Attack on Facial Soft-Biometric Privacy Enhancement}}},
  doi          = {{10.1109/TBIOM.2022.3172724}},
  volume       = {{4}},
  year         = {{2022}},
}

@phdthesis{34041,
  author       = {{Witschen, Linus Matthias}},
  title        = {{{Frameworks and Methodologies for Search-based Approximate Logic Synthesis}}},
  doi          = {{10.17619/UNIPB/1-1649}},
  year         = {{2022}},
}

@inproceedings{37554,
  author       = {{Asmar, Laban and Grigoryan, Khoren and Kuhn, Arno and Dumitrescu, Roman}},
  booktitle    = {{2022 IEEE 20th International Conference on Industrial Informatics (INDIN)}},
  publisher    = {{IEEE}},
  title        = {{{Survey on methods for early prototyping and validation of technical product ideas}}},
  doi          = {{10.1109/indin51773.2022.9976130}},
  year         = {{2022}},
}

@inproceedings{37550,
  author       = {{Kaiser, Lydia and Schräder, Elena and Bernijazov, Ruslan and Foullois, Marc and Dumitrescu, Roman}},
  booktitle    = {{Tag des Systems Engineering}},
  editor       = {{Koch, Walter and Wilke, Daria and Dreiseitel, Stefan and Kaffenberger, Rüdiger}},
  title        = {{{Ein Ansatz zur Strukturierung von KI-Assistenzen im Model-Based Systems Engineering}}},
  year         = {{2022}},
}

@inproceedings{38158,
  author       = {{Winkelnkemper, Felix and Huhmann, Tobias and Bechinie, Dominik and Eilerts, Katja and Lenke, Michael and Schulte, Carsten}},
  booktitle    = {{Society for Information Technology & Teacher Education International Conference}},
  keywords     = {{⛔ No DOI found}},
  pages        = {{1407–1413}},
  title        = {{{Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities}}},
  year         = {{2022}},
}

@inbook{39080,
  author       = {{Schulte, Carsten and Winkelnkemper, Felix}},
  booktitle    = {{Theologie im Übergang - Identität - Digitalisierung - Dialog}},
  pages        = {{117–135}},
  publisher    = {{Herder}},
  title        = {{{Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik}}},
  year         = {{2022}},
}

@inproceedings{38160,
  author       = {{Huhmann, Tobias and Winkelnkemper, Felix}},
  booktitle    = {{EDULEARN22 Proceedings}},
  pages        = {{10017–10026}},
  title        = {{{SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS}}},
  doi          = {{10.21125/edulearn.2022.2416}},
  year         = {{2022}},
}

@article{38162,
  author       = {{Huhmann, Tobias and Eilerts, Katja and Winkelnkemper, Felix}},
  journal      = {{Mathematik differenziert}},
  keywords     = {{⛔ No DOI found}},
  number       = {{4-2022}},
  pages        = {{42–45}},
  title        = {{{Pentomino Digital - Mit Einer App Geometrie Lernen}}},
  year         = {{2022}},
}

@article{34617,
  author       = {{Huber, Marco and Terhörst, Philipp and Kirchbuchner, Florian and Damer, Naser and Kuijper, Arjan}},
  journal      = {{33nd British Machine Vision Conference 2022}},
  keywords     = {{Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences}},
  publisher    = {{arXiv}},
  title        = {{{Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition}}},
  doi          = {{10.48550/ARXIV.2210.10354}},
  year         = {{2022}},
}

@inproceedings{40510,
  abstract     = {{<jats:p>Decision-making processes are often based on data and data-driven machine learning methods in different areas such as recommender systems, medicine, criminalistics, etc. Well-informed citizens need at least a minimal understanding and critical reflection of corresponding data-driven machine learning methods. Decision trees are a method that can foster a preformal understanding of machine learning. We developed an exploratory teaching unit introducing decision trees in grade 6 along the question “How can Artificial Intelligence help us decide whether food is rather recommendable or not?” Students’ performances in an assessment task and self-assessment show that young learners can use a decision tree to classify new items and that they found the corresponding teaching unit informative.</jats:p>}},
  author       = {{Podworny, Susanne and Fleischer, Yannik and Hüsing, Sven}},
  booktitle    = {{Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics}},
  publisher    = {{International Association for Statistical Education}},
  title        = {{{Grade 6 Students’ Perception and Use of Data-Based Decision Trees}}},
  doi          = {{10.52041/iase.icots11.t2h3}},
  year         = {{2022}},
}

@inproceedings{30937,
  abstract     = {{<jats:p>Data Science has become an increasingly important aspect of our everyday lives as we gain a lot of different insights from data analyses, for example in the context of environmental issues. In order to make the process of data analyses comprehensible for lower secondary school students, we developed a data analysis project for computer science classes, focusing on gaining insights from environmental data by using the concept of epistemic programming. In this article, we report on the second implementation of this project, which was conducted in a ninth-grade computer science class. Concretely, we want to examine, how far the students were able to create computational essays to conduct reproducible data analyses on their own. In this regard, the computational essays created with the help of the professional tool Jupyter Notebooks will be examined in terms of aspects of reproducibility.</jats:p>}},
  author       = {{Hüsing, Sven and Podworny, Susanne}},
  booktitle    = {{Proceedings of the IASE 2021 Satellite Conference}},
  publisher    = {{International Association for Statistical Education}},
  title        = {{{Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School}}},
  doi          = {{10.52041/iase.zwwoh}},
  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{41134,
  author       = {{Gottschalk, Sebastian and Bhat, Rakshit and Weidmann, Nils and Kirchhoff, Jonas and Engels, Gregor}},
  booktitle    = {{Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings}},
  publisher    = {{ACM}},
  title        = {{{Low-code experimentation on software products}}},
  doi          = {{10.1145/3550356.3561572}},
  year         = {{2022}},
}

@phdthesis{35188,
  author       = {{Eidens, Fabian}},
  title        = {{{Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials}}},
  doi          = {{10.17619/UNIPB/1-1653}},
  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{34700,
  author       = {{Gharibian, Sevag and Santha, Miklos and Sikora, Jamie and Sundaram, Aarthi and Yirka, Justin}},
  issn         = {{1016-3328}},
  journal      = {{Computational Complexity}},
  keywords     = {{Computational Mathematics, Computational Theory and Mathematics, General Mathematics, Theoretical Computer Science}},
  number       = {{2}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Quantum generalizations of the polynomial hierarchy with applications to QMA(2)}}},
  doi          = {{10.1007/s00037-022-00231-8}},
  volume       = {{31}},
  year         = {{2022}},
}

@inproceedings{27160,
  abstract     = {{We study the complexity of problems solvable in deterministic polynomial time
with access to an NP or Quantum Merlin-Arthur (QMA)-oracle, such as $P^{NP}$
and $P^{QMA}$, respectively. The former allows one to classify problems more
finely than the Polynomial-Time Hierarchy (PH), whereas the latter
characterizes physically motivated problems such as Approximate Simulation
(APX-SIM) [Ambainis, CCC 2014]. In this area, a central role has been played by
the classes $P^{NP[\log]}$ and $P^{QMA[\log]}$, defined identically to $P^{NP}$
and $P^{QMA}$, except that only logarithmically many oracle queries are
allowed. Here, [Gottlob, FOCS 1993] showed that if the adaptive queries made by
a $P^{NP}$ machine have a "query graph" which is a tree, then this computation
can be simulated in $P^{NP[\log]}$.
  In this work, we first show that for any verification class
$C\in\{NP,MA,QCMA,QMA,QMA(2),NEXP,QMA_{\exp}\}$, any $P^C$ machine with a query
graph of "separator number" $s$ can be simulated using deterministic time
$\exp(s\log n)$ and $s\log n$ queries to a $C$-oracle. When $s\in O(1)$ (which
includes the case of $O(1)$-treewidth, and thus also of trees), this gives an
upper bound of $P^{C[\log]}$, and when $s\in O(\log^k(n))$, this yields bound
$QP^{C[\log^{k+1}]}$ (QP meaning quasi-polynomial time). We next show how to
combine Gottlob's "admissible-weighting function" framework with the
"flag-qubit" framework of [Watson, Bausch, Gharibian, 2020], obtaining a
unified approach for embedding $P^C$ computations directly into APX-SIM
instances in a black-box fashion. Finally, we formalize a simple no-go
statement about polynomials (c.f. [Krentel, STOC 1986]): Given a multi-linear
polynomial $p$ specified via an arithmetic circuit, if one can "weakly
compress" $p$ so that its optimal value requires $m$ bits to represent, then
$P^{NP}$ can be decided with only $m$ queries to an NP-oracle.}},
  author       = {{Gharibian, Sevag and Rudolph, Dorian}},
  booktitle    = {{13th Innovations in Theoretical Computer Science (ITCS 2022)}},
  number       = {{75}},
  pages        = {{1--27}},
  title        = {{{On polynomially many queries to NP or QMA oracles}}},
  doi          = {{10.4230/LIPIcs.ITCS.2022.75}},
  volume       = {{215}},
  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}},
}

