@inproceedings{36563,
  author       = {{Rozo Vasquez, Julian and Walther, Frank and Arian, Bahman and Homberg, Werner and Kersting, Lukas and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the 14th International Conference on Barkhausen Noise and Micromagnetic Testing}},
  location     = {{Stockholm}},
  title        = {{{Soft sensor concept for micromagnetic depth-specific analysis of phase transformation during flow forming of AISI 304L steel.}}},
  year         = {{2022}},
}

@book{36412,
  author       = {{Kersting, Lukas and Trächtler, Ansgar and Arian, Bahman and Homberg, Werner and Rozo Vasquez, Julian and Walther, Frank}},
  isbn         = {{978-3-948749-23-1 }},
  publisher    = {{Diedrich}},
  title        = {{{Echtzeitfähige Modellierung eines innovativen Drückwalzprozesses für die eigenschaftsgeregelte Herstellung gradierter Bauteile.}}},
  year         = {{2022}},
}

@book{47417,
  author       = {{Föllinger, Otto and Konigorski, Ulrich and Lohmann, Boris and Roppenecker, Günter and Trächtler, Ansgar}},
  publisher    = {{VDE-Verlag}},
  title        = {{{Regelungstechnik. Einführung in die Methoden und ihre Anwendung}}},
  year         = {{2022}},
}

@inproceedings{34298,
  author       = {{Trentinaglia, Roman}},
  booktitle    = {{Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings}},
  publisher    = {{ACM}},
  title        = {{{Deriving model-based safety and security assurance cases from design rationale of countermeasure patterns}}},
  doi          = {{10.1145/3550356.3558508}},
  year         = {{2022}},
}

@inproceedings{26180,
  author       = {{Michael, Jan and Grote, Eva-Maria and Pfeifer, Stefan and Rasor, Rik and Henke, Christian and Trächtler, Ansgar and Kaiser, Lydia}},
  title        = {{{Towards the Concept of a Digital Green Twin for a Sustainable Product Lifecycle}}},
  year         = {{2021}},
}

@inproceedings{26997,
  author       = {{Ehlert, Meik and Michael, Jan and Henke, Christian and Trächtler, Ansgar and Kalla, Matthias and Bagaber, Bakr and Ponick, Bernd and Mertens, Axel}},
  booktitle    = {{Proceedings of the International Conference on SMACD and 16th Conference on PRIME}},
  pages        = {{164--167}},
  title        = {{{Connecting Energy Storages from Tool Independent, Signal-flow Oriented FMUs}}},
  year         = {{2021}},
}

@article{27123,
  author       = {{Poddubnyi, Vladimir I. and Trächtler, Ansgar and Warkentin, Andreas and Henke, Christian}},
  journal      = {{Russian Engineering Research}},
  number       = {{3}},
  pages        = {{198--201}},
  publisher    = {{Springer}},
  title        = {{{Model of a Triangular Caterpillar Drive and Analysis of Vertical Vehicle Dynamics}}},
  volume       = {{41}},
  year         = {{2021}},
}

@inproceedings{21326,
  author       = {{Holtmann, Jörg and Steghöfer, Jan-Phillipp and Rath, Michael and Schmelter, David}},
  booktitle    = {{Software Engineering 2021}},
  editor       = {{Koziolek, Anne and Schaefer, Ina and Seidl, Christoph}},
  location     = {{Remote / Braunschweig, Germany }},
  pages        = {{59--60}},
  title        = {{{Cutting through the Jungle: Disambiguating Model-based Traceability Terminology (Extended Abstract)}}},
  doi          = {{10.18420/SE2021_18}},
  volume       = {{P-310}},
  year         = {{2021}},
}

@article{23526,
  abstract     = {{<jats:p>Modern and flexible application-level software platforms increase the attack surface of connected vehicles and thereby require automotive engineers to adopt additional security control techniques. These techniques encompass host-based intrusion detection systems (HIDSs) that detect suspicious activities in application contexts. Such application-aware HIDSs originate in information and communications technology systems and have a great potential to deal with the flexible nature of application-level software platforms. However, the elementary characteristics of known application-aware HIDS approaches and thereby the implications for their transfer to the automotive sector are unclear. In previous work, we presented a systematic literature review (SLR) covering the state of the art of application-aware HIDS approaches. We synthesized our findings by means of a fine-grained classification for each approach specified through a feature model and corresponding variant models. These models represent the approaches’ elementary characteristics. Furthermore, we summarized key findings and inferred implications for the transfer of application-aware HIDSs to the automotive sector. In this article, we extend the previous work by several aspects. We adjust the quality evaluation process within the SLR to be able to consider high quality conference publications, which results in an extended final pool of publications. For supporting HIDS developers on the task of configuring HIDS analysis techniques based on machine learning, we report on initial results on the applicability of AutoML. Furthermore, we present lessons learned regarding the application of the feature and variant model approach for SLRs. Finally, we more thoroughly describe the SLR study design.</jats:p>}},
  author       = {{Schubert, David and Eikerling, Hendrik and Holtmann, Jörg}},
  issn         = {{2624-9898}},
  journal      = {{Frontiers in Computer Science}},
  publisher    = {{Frontiers Media}},
  title        = {{{Application-Aware Intrusion Detection: A Systematic Literature Review, Implications for Automotive Systems, and Applicability of AutoML}}},
  doi          = {{10.3389/fcomp.2021.567873}},
  volume       = {{3}},
  year         = {{2021}},
}

@unpublished{23534,
  abstract     = {{In recent years, the World Economic Forum has identified software security as
the most significant technological risk to the world's population, as
software-intensive systems process critical data and provide critical services.
This raises the question of the extent to which German companies are addressing
software security in developing and operating their software products. This
paper reports on the results of an extensive study among developers, product
owners, and managers to answer this question. Our results show that ensuring
security is a multi-faceted challenge for companies, involving low awareness,
inaccurate self-assessment, and a lack of competence on the topic of secure
software development among all stakeholders. The current situation in software
development is therefore detrimental to the security of software products in
the medium and long term.}},
  author       = {{Dziwok, Stefan and Koch, Thorsten and Merschjohann, Sven and Budweg, Boris and Leuer, Sebastian}},
  booktitle    = {{arXiv:2108.11752}},
  title        = {{{AppSecure.nrw Software Security Study}}},
  year         = {{2021}},
}

@inproceedings{23779,
  abstract     = {{Produktentstehung (PE) bezieht sich auf den Prozess der Planung und Entwicklung eines Produkts sowie der damit verbundenen Dienstleistungen von der ersten Idee bis zur Herstellung und zum Vertrieb. Während dieses Prozesses gibt es zahlreiche Aufgaben, die von menschlichem Fachwissen abhängen und typischerweise von erfahrenen Experten übernommen werden. Da sich das Feld der Künstlichen Intelligenz (KI) immer weiterentwickelt und seinen Weg in den Fertigungssektor findet, gibt es viele Möglichkeiten für eine Anwendung von KI, um bei der Lösung der oben genannten Aufgaben zu helfen. In diesem Paper geben wir einen umfassenden Überblick über den aktuellen Stand der Technik des Einsatzes von KI in der PE. 
Im Detail analysieren wir 40 bestehende Surveys zu KI in der PE und 94 Case Studies, um herauszufinden, welche Bereiche der PE von der aktuellen Forschung in diesem Bereich vorrangig adressiert werden, wie ausgereift die diskutierten KI-Methoden sind und inwieweit datenzentrierte Ansätze in der aktuellen Forschung genutzt werden.}},
  author       = {{Bernijazov, Ruslan and Dicks, Alexander and Dumitrescu, Roman and Foullois, Marc and Hanselle, Jonas Manuel and Hüllermeier, Eyke and Karakaya, Gökce and Ködding, Patrick and Lohweg, Volker and Malatyali, Manuel and Meyer auf der Heide, Friedhelm and Panzner, Melina and Soltenborn, Christian}},
  booktitle    = {{Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21)}},
  keywords     = {{Artificial Intelligence Product Creation Literature Review}},
  location     = {{Montreal, Kanada}},
  title        = {{{A Meta-Review on Artiﬁcial Intelligence in Product Creation}}},
  year         = {{2021}},
}

@inproceedings{22961,
  author       = {{Schütz, Stefan and Elsner, Nikolaus and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{Fachtagung VDI MECHATRONIK 2021}},
  title        = {{{Kraftsensitive Kalibriermethode für Industrieroboter}}},
  year         = {{2021}},
}

@article{22962,
  author       = {{Schütz, Stefan and Rüting, Arne Thorsten and Henke, Christian and Trächtler, Ansgar}},
  journal      = {{at-Automatisierungstechnik}},
  number       = {{3}},
  pages        = {{231--241}},
  title        = {{{Echtzeitfähige Planung optimierter Trajektorien für sensorgeführte, kinematisch redundante Robotersysteme auf einer Industriesteuerung}}},
  volume       = {{69}},
  year         = {{2021}},
}

@inproceedings{23374,
  author       = {{Kummita, Sriteja and Piskachev, Goran and Spath, Johannes and Bodden, Eric}},
  booktitle    = {{2021 International Conference on Code Quality (ICCQ)}},
  title        = {{{Qualitative and Quantitative Analysis of Callgraph Algorithms for Python}}},
  doi          = {{10.1109/iccq51190.2021.9392986}},
  year         = {{2021}},
}

@inproceedings{29715,
  author       = {{Steghofer, Jan-Philipp and Koopmann, Bjorn and Steffen Becker, Jan and Stierand, Ingo and Zeller, Marc and Bonner, Maria and Schmelter, David and Maro, Salome}},
  booktitle    = {{2021 IEEE 29th International Requirements Engineering Conference (RE)}},
  publisher    = {{IEEE}},
  title        = {{{The MobSTr Dataset – An Exemplar for Traceability and Model-based Safety Assessment}}},
  doi          = {{10.1109/re51729.2021.00062}},
  year         = {{2021}},
}

@inproceedings{26407,
  author       = {{Piskachev, Goran and Krishnamurthy, Ranjith and Bodden, Eric}},
  booktitle    = {{2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)}},
  title        = {{{SecuCheck: Engineering configurable taint analysis for software developers}}},
  year         = {{2021}},
}

@article{23469,
  abstract     = {{The implementation of control systems in metal forming processes improves product quality and productivity. By controlling workpiece properties during the process, beneficial effects caused by forming can be exploited and integrated in the product design. The overall goal of this investigation is to produce tailored tubular parts with a defined locally graded microstructure by means of reverse flow forming. For this purpose, the proposed system aims to control both the desired geometry of the workpiece and additionally the formation of strain-induced α′-martensite content in the metastable austenitic stainless steel AISI 304 L. The paper introduces an overall control scheme, a geometry model for describing the process and changes in the dimensions of the workpiece, as well as a material model for the process-induced formation of martensite, providing equations based on empirical data. Moreover, measurement systems providing a closed feedback loop are presented, including a novel softsensor for in-situ measurements of the martensite content.}},
  author       = {{Riepold, Markus and Arian, Bahman and Vasquez, Julian Rozo and Homberg, Werner and Walther, Frank and Trächtler, Ansgar}},
  issn         = {{2666-9129}},
  journal      = {{Advances in Industrial and Manufacturing Engineering}},
  title        = {{{Model approaches for closed-loop property control for flow forming}}},
  doi          = {{10.1016/j.aime.2021.100057}},
  year         = {{2021}},
}

@inproceedings{30297,
  author       = {{Rozo Vasquez, Julian and Arian, Bahman and Riepold, Markus and Walther, Frank and Homberg, Werner and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the 11th International Work­shop NDT in Progress}},
  location     = {{Prague}},
  title        = {{{Magnetic Barkhausen noise analysis for microstructural effects separation during flow forming of metastable austenite 304L.}}},
  year         = {{2021}},
}

@inproceedings{23465,
  abstract     = {{One of the main objectives of production engineering is to reproducibly manufacture (complex) defect-free parts. To achieve this, it is necessary to employ an appropriate process or tool design. While this will generally prove successful, it cannot, however, offset stochastic defects with local variations in material properties. Closed-loop process control represents a promising approach for a solution in this context. The state of the art involves using this approach to control geometric parameters such as a length. So far, no research or applications have been conducted with closed-loop control for microstructure and product properties. In the project on which this paper is based, the local martensite content of parts is to be adjusted in a highly precise and reproducible manner. The forming process employed is a special, property-controlled flow-forming process. A model-based controller is thus to generate corresponding correction values for the tool-path geometry and tool-path velocity on the basis of online martensite content measurements. For the controller model, it is planned to use a special process or microstructure (correlation) model. The planned paper not only describes the experimental setup but also presents results of initial experimental investigations for subsequent use in the closed-loop control of α’-martensite content during flow-forming.}},
  author       = {{Arian, Bahman and Homberg, Werner and Riepold, Markus and Trächtler, Ansgar and Rozo Vasquez, Julian and Walther, Frank}},
  isbn         = {{978-2-87019-302-0}},
  keywords     = {{Flow-forming, Spinning, Process Strategy, Martensite Content, Property Control, Micromagnetic Measurement, Metastable Austenitic Stainless Steel}},
  location     = {{Liège, Belgium}},
  publisher    = {{ULiège Library}},
  title        = {{{Forming of metastable austenitic stainless steel tubes with axially graded martensite content by flow-forming}}},
  year         = {{2021}},
}

@inproceedings{33975,
  author       = {{Lenz, Cederic and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  location     = {{Vasteras, Sweden }},
  publisher    = {{IEEE}},
  title        = {{{Anomaly detection in hot forming processes using hybrid modeling}}},
  doi          = {{10.1109/etfa45728.2021.9613629}},
  year         = {{2021}},
}

