@InProceedings{cucugrosjean:OASIcs.WCET.2024.6,
author = {Cucu-Grosjean, Liliana},
title = {{Invited Paper: Statistical, Stochastic or Probabilistic (Worst-Case Execution) Execution Time? - What Impact on the Multicore Composability}},
booktitle = {22nd International Workshop on Worst-Case Execution Time Analysis (WCET 2024)},
pages = {6:1--6:10},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-95977-346-1},
ISSN = {2190-6807},
year = {2024},
volume = {121},
editor = {Carle, Thomas},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2024.6},
URN = {urn:nbn:de:0030-drops-204746},
doi = {10.4230/OASIcs.WCET.2024.6},
annote = {Keywords: Worst-case execution time, probabilistic analyses, statistical estimator}
}
The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.
Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode