Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs?
C. Richter, J.F. Haltermann, M.-C. Jakobs, F. Pauck, S. Schott, H. Wehrheim, in: 37th IEEE/ACM International Conference on Automated Software Engineering, ACM, 2023.

Scaling Arbitrary Android App Analyses
F. Pauck, in: 37th IEEE/ACM International Conference on Automated Software Engineering, ACM, 2023.

MAAS: Hiding Trojans in Approximate Circuits
Q.A. Ahmed, M. Awais, M. Platzner, in: The 24th International Symposium on Quality Electronic Design (ISQED’23), San Francisco, Califorina USA, 2023.

Cooperative Android App Analysis
F. Pauck, Cooperative Android App Analysis, Paderborn University, 2023.

Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining
J. Kersting, Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining, Universität der Bundeswehr München , Neubiberg, 2023.

Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation
F.S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, H. Wachsmuth, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 65–84.

Configuration and Evaluation
J.M. Hanselle, E. Hüllermeier, F. Mohr, A.-C. Ngonga Ngomo, M. Sherif, A. Tornede, M.D. Wever, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 85–104.

Composition Analysis in Unknown Contexts
H. Wehrheim, E. Hüllermeier, S. Becker, M. Becker, C. Richter, A. Sharma, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 105–123.

Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews
J. Kersting, M. Geierhos, in: A. Cuzzocrea, O. Gusikhin, S. Hammoudi, C. Quix (Eds.), Data Management Technologies and Applications, Springer Nature Switzerland, Cham, 2023, pp. 45–65.

Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions
A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions, 2023.

On the Membership and Correctness Problem for State Serializability and Value Opacity
J. König, On the Membership and Correctness Problem for State Serializability and Value Opacity, 2023.

Towards comparable ratings: Exploring bias in German physician reviews
J. Kersting, F. Maoro, M. Geierhos, Data &; Knowledge Engineering 148 (2023).

Verifying Software and Reconfigurable Hardware Services
H. Wehrheim, M. Platzner, E. Bodden, P. Schubert, F. Pauck, M.-C. Jakobs, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 125–144.

On-The-Fly Computing -- Individualized IT-services in dynamic markets
C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim, On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023.

Search Space Characterization for Approximate Logic Synthesis 
L.M. Witschen, T. Wiersema, L.D. Reuter, M. Platzner, in: 2022 59th ACM/IEEE Design Automation Conference (DAC), n.d.

MUSCAT: MUS-based Circuit Approximation Technique
L.M. Witschen, T. Wiersema, M. Artmann, M. Platzner, in: Design, Automation and Test in Europe (DATE), n.d.

A Survey of Methods for Automated Algorithm Configuration
E. Schede, J. Brandt, A. Tornede, M.D. Wever, V. Bengs, E. Hüllermeier, K. Tierney, ArXiv:2202.01651 (2022).

Property-Driven Testing of Black-Box Functions
A. Sharma, V. Melnikov, E. Hüllermeier, H. Wehrheim, in: Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE), IEEE, 2022, pp. 113–123.

HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection
L. Fehring, J.M. Hanselle, A. Tornede, in: Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022, 2022.

Static data-flow analysis for software product lines in C
P. Schubert, P. Gazzillo, Z. Patterson, J. Braha, F. Schiebel, B. Hermann, S. Wei, E. Bodden, Automated Software Engineering 29 (2022).

Learning Realistic Mutations: Bug Creation for Neural Bug Detectors
C. Richter, H. Wehrheim, in: 2022 IEEE Conference on Software Testing, Verification and Validation (ICST), 2022, pp. 162–173.

TSSB-3M: Mining single statement bugs at massive scale
C. Richter, H. Wehrheim, in: 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), 2022, pp. 418–422.

ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression Learning
K. Dreßler, M. Sherif, A.-C. Ngonga Ngomo, in: Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia, 2022.

Analyzing Culture-Specific Argument Structures in Learner Essays
W.-F. Chen, M.-H. Chen, G. Mudgal, H. Wachsmuth, in: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.

Chatbot-Enhanced Requirements Resolution for Automated Service Compositions
J. Kersting, M. Ahmed, M. Geierhos, in: C. Stephanidis, M. Antona, S. Ntoa (Eds.), HCI International 2022 Posters, Springer International Publishing, Cham, Switzerland, 2022, pp. 419--426.

Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis
J. Kersting, F.S. Bäumer, in: J. Kersting (Ed.), Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, IARIA, Barcelona, Spain, 2022, pp. 5–9.

Investigating the argumentation structures of EFL learners from diverse language backgrounds
M.-H. Chen, G. Mudgal, W.-F. Chen, H. Wachsmuth, in: EUROCALL, 2022.

Combined Ranking and Regression Trees for Algorithm Selection
L. Fehring, Combined Ranking and Regression Trees for Algorithm Selection, Paderborn, 2022.

Machine Learning for Online Algorithm Selection under Censored Feedback
A. Tornede, V. Bengs, E. Hüllermeier, Proceedings of the 36th AAAI Conference on Artificial Intelligence (2022).

Algorithm Selection on a Meta Level
A. Tornede, L. Gehring, T. Tornede, M.D. Wever, E. Hüllermeier, Machine Learning (2022).

A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials
K. Gevers, A. Tornede, M.D. Wever, V. Schöppner, E. Hüllermeier, Welding in the World (2022).

Frameworks and Methodologies for Search-based Approximate Logic Synthesis
L.M. Witschen, Frameworks and Methodologies for Search-Based Approximate Logic Synthesis, 2022.

On the Detection and Circumvention of Bitstream-Level Trojans in FPGAs
Q.A. Ahmed, M. Platzner, in: IEEE Computer Society Annual Symposium on VLSI (ISVLSI,2022), Pafos, Cyprus, 2022.

Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing
M. Ahmed, Knowledge Base Enhanced &; User-Centric Dialogue Design for OTF Computing, 2022.

Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks
J. Palushi, Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks, 2022.

Propaganda Technique Detection Using Connotation Frames
V. Budanurmath, Propaganda Technique Detection Using Connotation Frames, 2022.

Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement
B. Dongol, G. Schellhorn, H. Wehrheim, in: B. Klin, S. Lasota, A. Muscholl (Eds.), 33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 31:1–31:23.

PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications
J. Kersting, ed., PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications, IARIA, Barcelona, Spain, 2022.

MLCHECK–Property-Driven Testing of Machine Learning Classifiers
A. Sharma, C. Demir, A.-C. Ngonga Ngomo, H. Wehrheim, in: Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA), IEEE, n.d.

IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING
F.S. Bäumer, J. Kersting, S. Denisov, M. Geierhos, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, IADIS, 2021, pp. 221--225.

Guaranteeing Properties of Reconfigurable Hardware Circuits with Proof-Carrying Hardware
T. Wiersema, Guaranteeing Properties of Reconfigurable Hardware Circuits with Proof-Carrying Hardware, Paderborn University, Paderborn, 2021.

TaintBench: Automatic real-world malware benchmarking of Android taint analyses
L. Luo, F. Pauck, G. Piskachev, M. Benz, I. Pashchenko, M. Mory, E. Bodden, B. Hermann, F. Massacci, Empirical Software Engineering (2021).

AutoML for Multi-Label Classification: Overview and Empirical Evaluation
M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.

Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning
F. Mohr, M.D. Wever, A. Tornede, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (n.d.).

Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance
T. Tornede, A. Tornede, M.D. Wever, E. Hüllermeier, in: Proceedings of the Genetic and Evolutionary Computation Conference, 2021.

Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks
J. Kersting, M. Geierhos, in: R. Loukanova (Ed.), Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, Springer, Cham, 2021, pp. 163--189.

Android App Analysis Benchmark Case Generation
S. Schott, Android App Analysis Benchmark Case Generation, Paderborn, 2021.

Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
E. Hüllermeier, F. Mohr, A. Tornede, M.D. Wever, in: 2021.

On Strong Observational Refinement and Forward Simulation
J. Derrick, S. Doherty, B. Dongol, G. Schellhorn, H. Wehrheim, in: Proceedings of the 35th International Symposium on Distributed Computing (DISC), Schloß Dagstuhl, n.d.

Well-being in Plastic Surgery: Deep Learning Reveals Patients' Evaluations
J. Kersting, M. Geierhos, in: Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), SCITEPRESS, Online, 2021, pp. 275--284.

Timing Optimization for Virtual FPGA Configurations
L.M. Witschen, T. Wiersema, M. Raeisi Nafchi, A. Bockhorn, M. Platzner, in: F. Hannig, S. Derrien, P. Diniz, D. Chillet (Eds.), Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), Springer Lecture Notes in Computer Science, n.d.

Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis
P. Schubert, B. Hermann, E. Bodden, in: European Conference on Object-Oriented Programming (ECOOP), 2021.

Towards Green Automated Machine Learning: Status Quo and Future Directions
T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier, ArXiv:2111.05850 (2021).

Automated Machine Learning for Multi-Label Classification
M.D. Wever, Automated Machine Learning for Multi-Label Classification, 2021.

Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting
J. Kersting, M. Geierhos, in: E. Kapetanios, H. Horacek, E. Métais, F. Meziane (Eds.), Natural Language Processing and Information Systems, Springer, Saarbrücken, Germany, 2021, pp. 231--242.

Jicer: Simplifying Cooperative Android App Analysis Tasks
F. Pauck, H. Wehrheim, in: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021.

Belief-based Generation of Argumentative Claims
M. Alshomary, W.-F. Chen, T. Gurcke, H. Wachsmuth, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.

Controlled Neural Sentence-Level Reframing of News Articles
W.-F. Chen, K. Al Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.

Argument Undermining: Counter-Argument Generation by Attacking Weak Premises
M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827.

Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data
J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, (2021).

Software/Hardware Co-Verification for Custom Instruction Set Processors
M.-C. Jakobs, F. Pauck, M. Platzner, H. Wehrheim, T. Wiersema, IEEE Access (2021).

Cooperative Android App Analysis with CoDiDroid
F. Pauck, H. Wehrheim, in: A. Koziolek, I. Schaefer, C. Seidl (Eds.), Software Engineering 2021, Gesellschaft für Informatik e.V., Bonn, 2021, pp. 83–84.

Hardware Trojans in Reconfigurable Computing
Q.A. Ahmed, in: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021.

Malicious Routing: Circumventing Bitstream-level Verification for FPGAs
Q.A. Ahmed, T. Wiersema, M. Platzner, in: 2021 Design, Automation &; Test in Europe Conference &; Exhibition (DATE), 2021 Design, Automation and Test in Europe Conference (DATE), Alpexpo | Grenoble, France, 2021.

Into the Woods: Experiences from Building a Dataflow Analysis Framework for C/C++
P. Schubert, B. Hermann, E. Bodden, R. Leer, in: SCAM ’21: IEEE International Working Conference on Source Code Analysis and Manipulation (Engineering Track), 2021.

Modeling the Effects of Global Variables in Data-Flow Analysis for C/C++
P. Schubert, F. Sattler, F. Schiebel, B. Hermann, E. Bodden, in: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021.

Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump
J. Bülling, Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump, 2021.

Computational Text Professionalization using Neural Sequence-to-Sequence Models
A. Mishra, Computational Text Professionalization Using Neural Sequence-to-Sequence Models, 2021.

Automatic Fairness Testing of Machine Learning Models
A. Sharma, H. Wehrheim, in: Proceedings of the 32th IFIP International Conference on Testing Software and Systems (ICTSS), Springer, n.d.

Optimierung von JMCTest beim Testen von Inter Method Contracts
S. Mayer, Optimierung von JMCTest Beim Testen von Inter Method Contracts, Universität Paderborn, 2020.

Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P News Tagging
F.S. Bäumer, J. Kersting, B. Buff, M. Geierhos, in: L. Audrius, B. Rita, G. Daina, S. Vilma (Eds.), Information and Software Technologies, Springer, 2020, pp. 368--382.

Proof-carrying Approximate Circuits
L.M. Witschen, T. Wiersema, M. Platzner, IEEE Transactions On Very Large Scale Integration Systems 28 (2020) 2084–2088.

Extreme Algorithm Selection with Dyadic Feature Representation
A. Tornede, M.D. Wever, E. Hüllermeier, in: Discovery Science, 2020.

Hybrid Ranking and Regression for Algorithm Selection
J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, in: KI 2020: Advances in Artificial Intelligence, 2020.

AutoML for Predictive Maintenance: One Tool to RUL Them All
T. Tornede, A. Tornede, M.D. Wever, F. Mohr, E. Hüllermeier, in: Proceedings of the ECMLPKDD 2020, 2020.

SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH
J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.

Towards Meta-Algorithm Selection
A. Tornede, M.D. Wever, E. Hüllermeier, in: Workshop MetaLearn 2020 @ NeurIPS 2020, 2020.

Accelerating Static Call-Graph, Points-to and Data-Flow Analysis Through Persisted Summaries
P. Schubert, E. Bodden, B. Hermann, Accelerating Static Call-Graph, Points-to and Data-Flow Analysis Through Persisted Summaries, 2020.

Search Space Characterization for AxC Synthesis
L.M. Witschen, T. Wiersema, M. Platzner, Fifth Workshop on Approximate Computing (AxC 2020) (n.d.).

Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis
A. Tornede, M.D. Wever, S. Werner, F. Mohr, E. Hüllermeier, in: ACML 2020, 2020.

Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models
A. Sharma, H. Wehrheim, in: Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)., ACM, n.d.

Algorithm Selection for Software Validation Based on Graph Kernels
C. Richter, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, Journal of Automated Software Engineering (n.d.).

Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.

Detection of Privacy Disclosure in the Medical Domain: A Survey
B. Buff, J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 630--637.

LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification
M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, in: Springer, n.d.

Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis
J. Kersting, M. Geierhos, in: Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, North Miami Beach, FL, USA, 2020, pp. 282--285.

Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets
M.D. Wever, L. van Rooijen, H. Hamann, Evolutionary Computation 28 (2020) 165–193.

What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers
J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal, 2020, pp. 263--272.

Knowledge Graphs for Multilingual Language Translation and Generation
D.C. Moussalem, Knowledge Graphs for Multilingual Language Translation and Generation, 2020.

A Case for a New IT Ecosystem: On-The-Fly Computing
H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business &; Information Systems Engineering 62 (2020) 467–481.

Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity
W.-F. Chen, K. Al-Khatib, H. Wachsmuth, B. Stein, in: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 2020, pp. 149–154.

Task Proposal: Abstractive Snippet Generation for Web Pages
S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, M. Potthast, in: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–241.

Detecting Media Bias in News Articles using Gaussian Bias Distributions
W.-F. Chen, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.

Abstractive Snippet Generation
W.-F. Chen, S. Syed, B. Stein, M. Hagen, M. Potthast, in: Proceedings of the Web Conference 2020, 2020, pp. 1309–1319.

Target Inference in Argument Conclusion Generation
M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Association for Computational Linguistics, 2020, pp. 4334–4345.

Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets
S.B. Schneider, A. Sharma, H. Karl, H. Wehrheim, in: 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM), IFIP, Washington, DC, USA, 2019, pp. 116--124.

CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation
L.M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, M. Platzner, Microelectronics Reliability 99 (2019) 277–290.

Testing Balancedness of ML Algorithms
A. Sharma, H. Wehrheim, in: Proceedings of the Software Engineering Conference (SE), Gesellschaft für Informatik e.V. (GI), Stuttgart, 2019, pp. 157–158.

Requirements Engineering in OTF-Computing
F.S. Bäumer, M. Geierhos, in: Encyclopedia.Pub, MDPI, Basel, Switzerland, 2019.

Combining Android Apps for Analysis Purposes
S. Zhang, Combining Android Apps for Analysis Purposes, Universität Paderborn, 2019.