S2: Integrated Research Training Group

Description

The integrated research training group  of our CRC provides structured scientific training for all PhD students involved in or associated to the CRC. The IRTG will coordinate all aspects of scientific and interdisciplinary training, which will range from soft skills and key competencies (scientific writing, presentation techniques, good scientific practice, etc.) to technical and interdisciplinary training for the disciplines addressed in the CRC. Each PhD student will be supervised by a thesis committee, and the IRTG board will continuously oversee the progress of all PhD students.

PIs

Publictaions

2022

Marcus Hilbrich; Fabian Lehmann

ßMACH — A Software Management Guidance Inproceedings

In: Reichelt, David Georg; Müller, Richard; Becker, Steffen; Hasselbring, Wilhelm; Hoorn, André; Kounev, Samuel; Koziolek, Anne; Reussner, Ralf (Ed.): Symposium on Software Performance 2021, CEUR-WS, Leipzig, Germany, 2022.

Abstract | Links | BibTeX

Marcus Hilbrich; Fabian Lehmann

Discussing Microservices: Definitions, Pitfalls, and their Relations Inproceedings

In: 2022 IEEE International Conference on Services Computing (SCC), pp. 39-44, 2022.

Links | BibTeX

Marcus Hilbrich; Vasilis Bountris

Are Workflows a Language to Solve Software Management Challenges?--A ßMACH Based Analysis Incollection

In: New Trends in Intelligent Software Methodologies, Tools and Techniques, vol. 355, pp. 221–232, IOS Press, 2022.

Abstract | Links | BibTeX

Marcus Hilbrich

Knowledge Transfer Patterns to Make Disciplinary Knowledge Explicit – Exemplified by HPC Incollection

In: New Trends in Intelligent Software Methodologies, Tools and Techniques, vol. 355, pp. 487–498, IOS Press, 2022.

Abstract | Links | BibTeX

Marcus Hilbrich; Sebastian Müller; Svetlana Kulagina; Christopher Lazik; Ninon De Mecquenem; Lars Grunske

A Consolidated View on Specification Languages for Data Analysis Workflows Inproceedings

In: Margaria, Tiziana; Steffen, Bernhard (Ed.): Leveraging Applications of Formal Methods, Verification and Validation. Software Engineering, pp. 201–215, Springer Nature Switzerland, Cham, 2022, ISBN: 978-3-031-19756-7.

Abstract | BibTeX