@article{58468, abstract = {{AbstractSystems Engineering is developing differently in each sector and region. In German industry, especially in mechanical and plant engineering, Systems Engineering is of major importance. The introduction of Systems Engineering raises the question of which roles and competencies are required. This article examines the evolution of roles in Systems Engineering from a German perspective. Based on a literature review, the evolution of the identified Systems Engineering roles over time is shown, starting with the seminal publication by Sheard in 1996. It points out that only minimal adjustments and occasional role renaming have occurred. However, the review shows a common understanding of essential areas of responsibility within the SE and changes over time. The next step is to examine the current understanding of Systems Engineering roles in the industry. A quantitative analysis of job postings in Germany reveals a diverse interpretation of the term 'Systems Engineer; more than half of the positions cannot be categorized according to the INCOSE definitions. The job postings are used to determine which tasks are associated with the job, how often they occur, and in what combination. The primary responsibilities of systems engineers include creating and managing requirements, architecture processes, validation, and verification processes, and coordinating with customers and stakeholders. Finally, three representative companies from the mechanical and plant engineering sector were selected to analyze existing roles and tasks. From this, a common understanding of tasks and responsibilities is combined and organized into clusters. These are used by the companies to locate and thus derive their roles. The result is in an integrative approach that enables companies, especially in the midsize and medium sectors, to design the introduction in line with stakeholder demands. In summary, the industry's ongoing adaptation necessitates the evolution of Systems Engineering roles and competencies for successful and sustainable development and implementation of systems.}}, author = {{Kaiser, Lydia and Wilke, Daria and Förster, Felix and Köhler, Ingmarie and Dumitrescu, Roman}}, issn = {{2334-5837}}, journal = {{INCOSE International Symposium}}, number = {{1}}, pages = {{1413--1428}}, publisher = {{Wiley}}, title = {{{Evolving Roles in Systems Engineering —‐ Insights from Germany's Mechanical and Plant Engineering Sector}}}, doi = {{10.1002/iis2.13216}}, volume = {{34}}, year = {{2024}}, } @article{58466, author = {{Carayannis, Elias G. and Dumitrescu, Roman and Falkowski, Tommy and Zota, Nikos-Rigert}}, issn = {{0018-9391}}, journal = {{IEEE Transactions on Engineering Management}}, pages = {{14754--14774}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Empowering SMEs “Harnessing the Potential of Gen AI for Resilience and Competitiveness”}}}, doi = {{10.1109/tem.2024.3456820}}, volume = {{71}}, year = {{2024}}, } @article{58474, abstract = {{Abstract The application of data analytics to product usage data has the potential to enhance engineering and decision-making in product planning. To achieve this effectively for cyber-physical systems (CPS), it is necessary to possess specialized expertise in technical products, innovation processes, and data analytics. An understanding of the process from domain knowledge to data analysis is of critical importance for the successful completion of projects, even for those without expertise in these areas. In this paper, we set out the foundation for a toolbox for data analytics, which will enable the creation of domain-specific pipelines for product planning. The toolbox includes a morphological box that covers the necessary pipeline components, based on a thorough analysis of literature and practitioner surveys. This comprehensive overview is unique. The toolbox based on it promises to support and enable domain experts and citizen data scientists, enhancing efficiency in product design, speeding up time to market, and shortening innovation cycles.}}, author = {{Panzner, Melina and von Enzberg, Sebastian and Dumitrescu, Roman}}, issn = {{0890-0604}}, journal = {{Artificial Intelligence for Engineering Design, Analysis and Manufacturing}}, publisher = {{Cambridge University Press (CUP)}}, title = {{{Developing a data analytics toolbox for data-driven product planning: a review and survey methodology}}}, doi = {{10.1017/s0890060424000209}}, volume = {{38}}, year = {{2024}}, } @article{58475, author = {{Schlegel, Michael and Just, Markus and Pfaff, Felix and Wiederkehr, Ingrid and Koldewey, Christian and Kempf, Christoph and Dumitrescu, Roman and Albers, Albert}}, issn = {{2212-8271}}, journal = {{Procedia CIRP}}, pages = {{555--560}}, publisher = {{Elsevier BV}}, title = {{{Future Robust Product Portfolio Development: Modelling Innovation Potentials in Product Portfolios}}}, doi = {{10.1016/j.procir.2024.03.036}}, volume = {{128}}, year = {{2024}}, } @inproceedings{58469, author = {{Schreiner, Nick and de Oliveira, FM and Trienens, Malte and Kürpick, Christian and Asmar, Laban and Kühn, Arno and Dumitrescu, Roman}}, booktitle = {{Proceedings R&D Management Conference}}, publisher = {{LibreCat University}}, title = {{{Corporate Emission Profiles: Analyzing the 160 largest German Companies}}}, doi = {{10.24406/PUBLICA-3609}}, year = {{2024}}, } @inproceedings{58470, author = {{Schlegel, Michael and Müller, Moritz and Kempf, Christoph and Albers, Albert and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}}, booktitle = {{The International Society for Professional Innovation Management (ISPIM)}}, location = {{Manchester }}, pages = {{1--18}}, title = {{{How to Derive Innovation Potentials Advancing the Product Portfolio?}}}, year = {{2024}}, } @inproceedings{58471, author = {{Wilke, Daria and Humpert, Lynn and Seidenberg, Tobias and Menne, Leon and Grewe, Carolin and Dumitrescu, Roman}}, booktitle = {{2024 IEEE International Systems Conference (SysCon)}}, publisher = {{IEEE}}, title = {{{MBSE as an Enabler for Collaborative Offer Management for Individual Production Systems}}}, doi = {{10.1109/syscon61195.2024.10553428}}, year = {{2024}}, } @inproceedings{58479, author = {{Kulkarni, Pranav Jayant and Tissen, Denis and Bernijazov, Ruslan and Dumitrescu, Roman}}, booktitle = {{Proceedings of NordDesign 2024}}, publisher = {{The Design Society}}, title = {{{Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence}}}, doi = {{10.35199/norddesign2024.66}}, year = {{2024}}, } @inproceedings{58480, author = {{Schlegel, Michael and Pommerer, Emily and Kempf, Christoph and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman and Albers, Albert}}, booktitle = {{Proceedings of NordDesign 2024}}, publisher = {{The Design Society}}, title = {{{Developing a Process Model for Future-Robust Advancement of Product Portfolios}}}, doi = {{10.35199/norddesign2024.49}}, year = {{2024}}, } @inproceedings{58477, author = {{Hermelingmeier, Dominik and Pape, Florian and Bunselmeyer, Laura and Pfeifer, Stefan and Dumitrescu, Roman}}, booktitle = {{Proceedings of NordDesign 2024}}, publisher = {{The Design Society}}, title = {{{Methods and Approaches for Evaluating the Repairability of Mechatronic Systems: A Systematic Literature Review}}}, doi = {{10.35199/norddesign2024.77}}, year = {{2024}}, } @inproceedings{58476, author = {{Wilke, Daria and Humpert, Lynn and Suwal, Pragita and Dumitrescu, Roman}}, booktitle = {{Proceedings of NordDesign 2024}}, publisher = {{The Design Society}}, title = {{{Framework for the Selection of Systems Engineering Modelling Languages and Methods for Special Purpose Machinery}}}, doi = {{10.35199/norddesign2024.59}}, year = {{2024}}, } @inproceedings{58478, author = {{Scholtysik, Michel and Rasor, Anja and Koldewey, Christian and Dumitrescu, Roman}}, booktitle = {{Proceedings of NordDesign 2024}}, publisher = {{The Design Society}}, title = {{{A Product Lifecycle Model for the Digitally Enabled Circular Economy}}}, doi = {{10.35199/norddesign2024.31}}, year = {{2024}}, } @inproceedings{58482, author = {{Weller, Julian and Migenda, Nico and Kühn, Arno and Dumitrescu, Roman}}, booktitle = {{Proceedings CPSL 2024}}, publisher = {{LibreCat University}}, title = {{{Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories}}}, doi = {{10.15488/17721}}, year = {{2024}}, } @inproceedings{58481, author = {{Scholtysik, Michel and Rasor, Anja and Koldewey, Christian and Dumitrescu, Roman}}, booktitle = {{ISPIM Conference Proceedings}}, location = {{Manchester}}, title = {{{Business model patterns for the circular economy}}}, year = {{2024}}, } @article{59411, abstract = {{As our lives, our businesses, and indeed our world economy become increasingly reliant on the secure operation of many interconnected software systems, the software engineering research community is faced with unprecedented research challenges, but also with exciting new opportunities. In this roadmap paper, we outline our vision of Software Security Analysis for the systems of the future. Given the recent advances in generative AI, we need new methods to assess and maximize the security of code co-written by machines. As our systems become increasingly heterogeneous, we need practical approaches that work even if some functions are automatically generated, e.g., by deep neural networks. As software systems depend evermore on the software supply chain, we need tools that scale to an entire ecosystem. What kind of vulnerabilities exist in future systems and how do we detect them? When all the shallow bugs are found, how do we discover vulnerabilities hidden deeply in the system? Assuming we cannot find all security flaws, how can we nevertheless protect our system? To answer these questions, we start our roadmap with a survey of recent advances in software security, then discuss open challenges and opportunities, and conclude with a long-term perspective for the field.}}, author = {{Böhme, Marcel and Bodden, Eric and Bultan, Tevfik and Cadar, Cristian and Liu, Yang and Scanniello, Giuseppe}}, issn = {{1049-331X}}, journal = {{ACM Transactions on Software Engineering and Methodology}}, publisher = {{Association for Computing Machinery (ACM)}}, title = {{{Software Security Analysis in 2030 and Beyond: A Research Roadmap}}}, doi = {{10.1145/3708533}}, year = {{2024}}, } @article{59911, abstract = {{AbstractIn this article, we study the complexity of weighted team definability for logics with team semantics. This problem is a natural analog of one of the most studied problems in parameterized complexity, the notion of weighted Fagin-definability, which is formulated in terms of satisfaction of first-order formulas with free relation variables. We focus on the parameterized complexity of weighted team definability for a fixed formula $\varphi$ of central team-based logics. Given a first-order structure $\mathcal{A}$ and the parameter value $k\in \mathbb N$ as input, the question is to determine whether $\mathcal{A},T\models \varphi$ for some team T of size k. We show several results on the complexity of this problem for dependence, independence, and inclusion logic formulas. Moreover, we also relate the complexity of weighted team definability to the complexity classes in the well-known W-hierarchy as well as paraNP.}}, author = {{Kontinen, Juha and Mahmood, Yasir and Meier, Arne and Vollmer, Heribert}}, issn = {{0960-1295}}, journal = {{Mathematical Structures in Computer Science}}, number = {{5}}, pages = {{375--389}}, publisher = {{Cambridge University Press (CUP)}}, title = {{{Parameterized complexity of weighted team definability}}}, doi = {{10.1017/s0960129524000033}}, volume = {{34}}, year = {{2024}}, } @inproceedings{56159, author = {{Peñaloza, Rafael and Turhan, Anni-Yasmin}}, booktitle = {{Proceedings of the 37th International Workshop on Description Logics (DL 2024), Bergen, Norway, June 18-21, 2024}}, editor = {{Giordano, Laura and Jung, Jean Christoph and Ozaki, Ana}}, publisher = {{CEUR-WS.org}}, title = {{{Rough, Rougher, Roughest: Extending EL with a Hierarchy of Indiscernibility Relations}}}, volume = {{3739}}, year = {{2024}}, } @inbook{60161, author = {{Tissen, Denis and Wiederkehr, Ingrid and Bernijazov, Ruslan and Koldewey, Christian and Dumitrescu, Roman}}, booktitle = {{System Innovation for an Artificial Intelligence Era }}, editor = {{Kin-Tak Lam, Artde Donald and Prior, Stephen D. and Shen, Siu-Tsen and Young, Sheng-Joue and Ji, Liang-Wen}}, publisher = {{CRC Press}}, title = {{{Portals across domains: A data analysis task and documentation canvas for data-driven model-based systems engineering}}}, year = {{2024}}, } @inbook{58449, author = {{Wiederkehr, Ingrid and Tissen, Denis and Koldewey, Christian and Dumitrescu, Roman}}, booktitle = {{System Innovation for an Artificial Intelligence Era}}, editor = {{Kin-Tak Lam, Artde Donald and Prior, Stephen D. and Shen, Siu-Tsen and Young, Sheng-Joue and Ji, Liang-Wen}}, isbn = {{9781003514831}}, publisher = {{CRC Press}}, title = {{{Sustinnovate or perish: Principles for sustainable innovation}}}, year = {{2024}}, } @article{54277, author = {{Herder, Eelco and Stojko, Laura and Strecker, Jannis and Neumayr, Thomas and Yigitbas, Enes and Augstein, Mirjam}}, journal = {{i-com - Journal of Interactive Media, Special Issue on “The Future of Human-Computer Interaction” }}, title = {{{Towards New Realities: Implications of Personalized Online Layers in Our Daily Lives}}}, year = {{2024}}, }