Automated Synthesis of Timed Failure Propagation Graphs
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 972-977.
Abstract
Timed Failure Propagation Graphs (TFPGs) are used in the design of safety-critical systems as a way of modeling failure propagation, and to evaluate and implement diagnostic systems. TFPGs are mostly produced manually, from a given dynamic system of greater complexity. In this paper we present a technique to automate the construction of TFPGs. It takes as input a set of failure mode and discrepancy nodes and builds the graph on top of them, based on an exhaustive analysis of all system behaviors. The result is a TFPG that accurately represents the sequences of failures and their effects as they appear in the system model. The proposed approach has been implemented on top of state-of-the-art symbolic model-checking techniques, and thoroughly evaluated on a number of synthetic and industrial benchmarks.
@inproceedings{ijcai2016p142,
title = {Automated Synthesis of Timed Failure Propagation Graphs},
author = {Bittner, Benjamin and Bozzano, Marco and Cimatti, Alessandro},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {972--977},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/142},
}
TY - CPAPER TI - Automated Synthesis of Timed Failure Propagation Graphs AU - Bittner, Benjamin AU - Bozzano, Marco AU - Cimatti, Alessandro T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 972 EP - 977 UR - https://ijcai.org/proceedings/2016/142 ER -Copied
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