Machine-learning abstractions for component-based self-optimizing systems

Michal Töpfer, Milad Abdullah, Tomáš Bureš, Petr Hnětynka, Martin Kruliš

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DOI: 10.1007/s10009-023-00726-x
Published: 2023-11-02
Container: International Journal on Software Tools for Technology Transfer
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10009-023-00726-x,
  title = {Machine-learning abstractions for component-based self-optimizing systems},
  author = {Michal Töpfer and Milad Abdullah and Tomáš Bureš and Petr Hnětynka and Martin Kruliš},
  year = {2023},
  journal = {International Journal on Software Tools for Technology Transfer},
  doi = {10.1007/s10009-023-00726-x},
  url = {https://doi.org/10.1007/s10009-023-00726-x}
}

RIS

TY  - JOUR
TI  - Machine-learning abstractions for component-based self-optimizing systems
AU  - Michal Töpfer
AU  - Milad Abdullah
AU  - Tomáš Bureš
AU  - Petr Hnětynka
AU  - Martin Kruliš
PY  - 2023
JO  - International Journal on Software Tools for Technology Transfer
DO  - 10.1007/s10009-023-00726-x
UR  - https://doi.org/10.1007/s10009-023-00726-x
ER  -

APA

Töpfer, M., Abdullah, M., Bureš, T., Hnětynka, P., & Kruliš, M. (2023). Machine-learning abstractions for component-based self-optimizing systems. International Journal on Software Tools for Technology Transfer. https://doi.org/10.1007/s10009-023-00726-x

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crossref · retrieved 2026-11-10T13:23:40.843Z