A flexible simulation-based framework for model-based/data-driven dependability evaluation
Published in Proceedings - 2020 IEEE 31st International Symposium on Software Reliability Engineering Workshops, ISSREW 2020, 2020
Recommended citation: Carlo Abate, Lelio Campanile, Stefano Marrone, "A flexible simulation-based framework for model-based/data-driven dependability evaluation." Proceedings - 2020 IEEE 31st International Symposium on Software Reliability Engineering Workshops, ISSREW 2020, 2020. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099830276&doi=10.1109%2fISSREW51248.2020.00083&partnerID=40&md5=8c06e5bedcaf6159251a6c79a3d7a446
Cited by: 1
Abstract: Modern predictive maintenance is the convergence of several technological trends: developing new techniques and algorithms can be very costly due to the need for a physical prototype. This research has the final aim to build a simulation-based software framework for modeling and analysing complex systems and for defining predictive maintenance algorithms. By the usage of simulation, quantitative evaluation of the dependability of such systems will be possible. The ERTMS/ETCS dependability case study is presented to prove the applicability of the software. © 2020 IEEE.
Author Keywords: Data-driven methods; Dependability Evaluation; Predictive maintenance; Quantitative Formal Models
Bibtex citation:
@CONFERENCE{Abate2020261,
author = "Abate, Carlo and Campanile, Lelio and Marrone, Stefano",
title = "A flexible simulation-based framework for model-based/data-driven dependability evaluation",
year = "2020",
journal = "Proceedings - 2020 IEEE 31st International Symposium on Software Reliability Engineering Workshops, ISSREW 2020",
pages = "261 – 266",
doi = "10.1109/ISSREW51248.2020.00083",
type = "Conference paper"
}