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Humboldt-Universität zu Berlin - Mathematisch-Naturwissenschaftliche Fakultät - Modellgetriebene Software Entwicklung

M. Sc. Alexander Schultheiß

Mail Address:

Institut für Informatik
Humboldt-Universität zu Berlin
Unter den Linden 6
D-10099 Berlin

Visitor Address:

Johann-von-Neumann-Haus
Rudower Chaussee 25, Raum 4.212
D-12489 Berlin-Adlershof

VoIP:

Discord:

AlexS#1561

E-Mail:

 

alexander.schultheiss (at) informatik.hu-berlin.de

GitHub

https://github.com/
AlexanderSchultheiss

 

About Myself

I studied informatics at the Friedrich Schiller University Jena (Jena is a beautiful little town in Thuringia - the green heart of Germany - that is definitely worth a visit). During my studies, I focused on computer vision and software engineering. 

Since March 2019, I am a PhD student with Timo Kehrer at Humbold University of Berlin and part of the VariantSync project. My main research interests lie in the systematic support of multi-variant software development, version control, and improving the way in which we as a community conduct our scientific work. 

Publications

  • Paul Maximilian Bittner, Alexander Schultheiß, Thomas Thüm, Timo Kehrer, Jeffrey M. Young, Lukas Linsbauer, "Feature Trace Recording". In Proceedings of the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’21), August 23–28, 2021, Athens, Greece. ACM, New York, NY, USA, 14 pages. https://doi.org/10.1145/3468264.3468531
  • Timo Kehrer, Thomas Thüm, Alexander Schultheiß, Paul Maximilian Bittner, "Bridging the Gap Between Clone-and-Own and Software Product Lines", Proceedings of the International Conference on Software Engineering (ICSE 2021).
    http://dx.doi.org/10.18725/OPARU-35726
    You can find the ICSE talk on YouTube.
  • Alexander Schultheiß, Paul Maximilian Bittner, Timo Kehrer, and Thomas
    Thüm. 2020. On the Use of Product-Line Variants as Experimental Subjects
    for Clone-and-Own Research: A Case Study. In 24th ACM International
    Systems and Software Product Line Conference (SPLC ’20), October 19–23,
    2020, Montréal, QC, Canada. ACM, New York, NY, USA, 6 pages.
    https://doi.org/10.1145/3382025.3414972
  • Alexander Schultheiß, Alexander Boll, Timo Kehrer, “Comparison of Graph-based Model Transformation Rules”, Journal of Object Technology, Volume 19, no. 2 (July 2020), pp. 3:1-21, doi:10.5381/jot.2020.19.2.a3.
  • Schultheiss A., Käding C., Freytag A., Denzler J. (2017) Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations. In: Roth V., Vetter T. (eds) Pattern Recognition. GCPR 2017. Lecture Notes in Computer Science, vol 10496. Springer, Cham. https://doi.org/10.1007/978-3-319-66709-6_19