Published October 7, 2023
| Version v1
Software
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CTA: A Correlation-Tolerant Analysis of the Deadline-Failure Probability of Dependent Tasks (Python Jupyter Notebook)
Creators
- 1. Max Planck Institute for Software Systems (MPI-SWS), Germany
- 2. ONERA/DTIS, Université de Toulouse, France
- 3. Mälardalen University, Sweden
Description
This submission includes the executable source code for a Python Jupyter Notebook, which automates the computations and provides a detailed explanation for the motivating example from Section II, featured in the paper:
- Filip Marković, Pierre Roux, Sergey Bozhko, Alessandro V. Papadopoulos, and Björn B. Brandenburg, “CTA: A Correlation-Tolerant Analysis of the Deadline-Failure Probability of Dependent Tasks”, Proceedings of the 44th IEEE Real-Time Systems Symposium (RTSS 2023), IEEE, December 2023.
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