Projects per year
Abstract
The debugging capabilities in the automation domain lag behind those in other domains. One obstacle to debugging systems in the automation domain is the presence of heavy and costly machinery connected to the Programmable Logic Controllers (PLCs). Replay debugging presents an opportunity to overcome this issue by allowing the user to debug a system with full control and observability, without the real system being connected. During the first stage of replay debugging, information is captured while the system is running. This is then used during the second stage to reproduce the system in a safe environment.This work focuses on a viability analysis of replay debugging for Function Block networks within resources modelled according to the IEC 61499 standard. In order to reduce the execution impact of information capture, the work presents an approach where only a small subset of the run-time information is captured and can be used in an offline stage to generate the full execution behaviour of an IEC 61499 resource. Thorough tests and experiments show that the reproduction of the original states is possible.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA) |
| Editors | Luis Almeida, Marina Indria, Mario de Sousa, Antonio Visioli, Mohammad Ashjaei, Pedro Santos |
| Publisher | IEEE |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798331553838 |
| ISBN (Print) | 979-8-3315-5384-5 |
| DOIs | |
| Publication status | Published - 21 Oct 2025 |
| Event | 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA) - Porto, Portugal Duration: 09 Sept 2025 → 12 Sept 2025 |
Publication series
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|---|
| ISSN (Print) | 1946-0740 |
| ISSN (Electronic) | 1946-0759 |
Conference
| Conference | 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA) |
|---|---|
| Period | 09.09.2025 → 12.09.2025 |
Fields of science
- 202003 Automation
- 102022 Software development
- 202017 Embedded systems
- 202041 Computer engineering
- 102029 Practical computer science
- 102025 Distributed systems
- 102 Computer Sciences
JKU Focus areas
- Digital Transformation
Projects
- 1 Active
-
Christian Doppler Laboratory for Mastering Variability in Software-intensive Cyber-physical Production Systems (CDL VaSiCS)
Bauer, P. (Researcher), Fadhlillah, H. (Researcher), Gutierrez, A. (Researcher), Kutsia, E. (Researcher), Sharma, S. (Researcher), Sonnleithner, L. (Researcher), Unterdechler, M. (Researcher), Rabiser, R. (PI) & Zoitl, A. (PI)
01.02.2021 → 31.01.2028
Project: Funded research › Other sponsors