You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact

Work-In-Progress: Probabilistic Timing Analysis of a Periodic Task on a Microcontroller



Jonathan Thörn , Najda Vidimlic , Anna Friebe, Alessandro Papadopoulos, Thomas Nolte

Publication Type:

Conference/Workshop Paper


The 24th IEEE Conference on Emerging Technologies and Factory Automation






In this paper we present our ongoing work towards a realistic probabilistic timing analysis of embedded software systems subject to timing requirements. In order to provide such an analysis that captures necessary and important behavioural features of the software system under analysis, including the underlying platform, we have implemented a real-time system running on a Rasberry Pi microcontroller on which we have performed a series of experiments and measurements. The results so far suggest a new model for analysis that captures more detailed behaviour and consequently provides a more accurate and correct probabilistic analysis.


author = {Jonathan Th{\"o}rn and Najda Vidimlic and Anna Friebe and Alessandro Papadopoulos and Thomas Nolte},
title = {Work-In-Progress: Probabilistic Timing Analysis of a Periodic Task on a Microcontroller},
month = {October},
year = {2019},
booktitle = {The 24th IEEE Conference on Emerging Technologies and Factory Automation},
publisher = {IEEE},
url = {}