Current research interests focus on Software and Systems Engineering (SSE) methods and processes, SSE Quality Assurance, Process Improvement, Data Analytics, Empirical Software Engineering, Multi-Disciplinary Engineering, and Industry 4.0.
Dietmar received a Master of Science and a PhD degree in Computer Science from TU Wien.
He worked as key researcher for engineering process improvement in the “Christian Doppler Laboratory on Software Engineering Integration for Flexible Automation Systems (CDL-Flex) and the Christian Doppler Laboratory on Security and Quality Improvement in the Production Systems Life Cycle (CDL-SQI). In 2021 and 2022 he headed the external module of CDL-SQI with focus on quality improvement at TU Wien.
He published 130+ papers in refereed journals and at international conferences. Furthermore, he supervised 100+ thesis on Bachelor and Master level at TU Wien.
Currently, he is working as senior researcher at SBA Research and as area manager at the Austrian Center for Digital Production (ACDP). In addition, Dietmar teaches graduate courses on Software Engineering, Software Quality Assurance, and Software Testing at TU Wien.
Felix Rinker, Laura Waltersdorfer, Kristof Meixner, Dietmar Winkler, Arndt Lüder, Stefan Biffl: Traceable Multi-view Model Integration: A Transformation Pipeline for Agile Production Systems Engineering. SN Comput. Sci. 4(2): 205 (2023).
Kabul Kurniawan, Andreas Ekelhart, Elmar Kiesling, Dietmar Winkler, Gerald Quirchmayr, A Min Tjoa: VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis. Mach. Learn. Knowl. Extr. 4(2): 371-396 (2022).
Dietmar Winkler, Pirmin Urbanke, Rudolf Ramler: What Do We Know About Readability of Test Code? – A Systematic Mapping Study. SANER 2022: 1167-1174. http://doi.org/10.1109/SANER53432.2022.00135
Dietmar Winkler, Petr Novák, Jirí Vyskocil, Kristof Meixner, Stefan Biffl: Industry 4.0 Asset-based Risk Mitigation for Production Operation. CASE 2021: 278-285. https://doi.org/10.1109/CASE49439.2021.9551419
Dietmar Winkler, Alexander Korobeinykov, Petr Novák, Arndt Lüder, Stefan Biffl: Big Data Needs and Challenges in Smart Manufacturing: An Industry-Academia Survey. ETFA 2021: 1-8.
Marta Sabou, Dietmar Winkler, Stefan Biffl: Empirical Software Engineering Experimentation with Human Computation. Contemporary Empirical Methods in Software Engineering 2020: 173-215.