Michael Dorner

Doktorand

Institutionen för programvaruteknik, Rum J2341

https://www.michaeldorner.de

Michael Dorner is researcher and doctoral candidate at Blekinge Institute of Technology, Sweden. His primary research is to measure, leverage, and improve the continuous exchange and flow of information within communication networks in software engineering and to understand the communication networks’ capabilities to cache, transport, deliver, and diffuse information on time. Before academia, he was data scientist and software engineer at Siemens.

Projekt och publikationer

Nyligen publicerat
Michael Dorner, Daniel Mendez, Krzysztof Wnuk, Ehsan Zabardast, Jacek Czerwonka, "The upper bound of information diffusion in code review", Empirical Software Engineering, ISSN 1382-3256, EISSN 1573-7616, Vol. 30, nr 1, Springer, 2025
Oliver Treidler, Tom-Eric Kunz, Maximilian Capraro, Michael Dorner, "Sustaining Arm’s Length Cost Allocations for Highly Integrated Development Functions", Blekinge Institute of Technology Research report, ISSN 1103-1581, EISSN 12155, EISSN 2024:01, Blekinge Tekniska Högskola, 2024
Michael Dorner, Maximilian Capraro, Oliver Treidler, Tom-Eric Kunz, Darja Šmite, Ehsan Zabardast, Daniel Mendez, Krzysztof Wnuk, "Taxing Collaborative Software Engineering", IEEE Software, ISSN 0740-7459, EISSN 1937-4194, Vol. 41, nr 4, pp. 143 - 150, IEEE Computer Society, 2024
Darja Šmite, Nils Brede Moe, Marcin Floryan, Javier Gonzalez-Huerta, Michael Dorner, Aivars Sablis, "Decentralized decision-making and scaled autonomy at Spotify", Journal of Systems and Software, ISSN 0164-1212, EISSN 1873-1228, Vol. 200, Elsevier, 2023
Michael Dorner, Darja Šmite, Daniel Mendez, Krzysztof Wnuk, Jacek Czerwonka, "Only Time Will Tell", International Symposium on Empirical Software Engineering and Measurement, ISSN 1949-3770, EISSN 1949-3789, ESEM '22, Association for Computing Machinery (ACM), 2022