Facilitating Failure Analysis with Software Instrumentation
The ultimate goal of the research presented in this paper is analysis, modeling, and prediction of failure in an embedded system. To this end, we propose software instrumentation that can facilitate monitoring and evaluation of the status of an embedded system. We illustrate the approach with a simple case study and describe how population of a failure model can be carried out using the data collected. The information gained facilitates assurance of embedded systems, as it provides a means for collecting the data required for determining dependability attributes such as reliability and survivability.
B. J. Ziegler et al., "Facilitating Failure Analysis with Software Instrumentation," Proceedings of 2019 IEEE 19th International Symposium on High Assurance Systems Engineering (2019, Hangzhou, China), pp. 139-145, IEEE Computer Society, Jan 2019.
The definitive version is available at https://doi.org/10.1109/HASE.2019.00029
2019 IEEE 19th International Symposium on High Assurance Systems Engineering, HASE 2019 (2019: Jan. 3-5, Hangzhou, China)
Electrical and Computer Engineering
Intelligent Systems Center
Keywords and Phrases
Failure (mechanical); Fault detection; Fault tolerant computer systems; Population statistics; Safety engineering; Systems engineering; Failure model; Fault tolerant systems; Monitoring and evaluations; Prediction of failures; Software instrumentation; Software methods; Embedded systems; Failure modeling; Fault-tolerant systems
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
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01 Jan 2019