posted on 1988-01-01, 00:00authored byVicky Hartonas-Garmhausen, Sergio Campos, Alessandro Cimatti, Edmund M Clarke, Fausto Giunchiglia
Ensuring the correctness of computer systems used in life-critical
applications is very difficult. The most commonly
used verification methods, simulation and testing, are not
exhaustive and can miss errors. This work describes an
alternative verification technique based on symbolic
model checking that can automatically and exhaustively
search the state space of the system and verify if properties
are satisfied or not. The method also provides useful quantitative
timing information about the behavior of the system.
We have applied this technique using the Verus tool to
a complex safety-critical system designed to control
medium and large-size railway stations. We have identified
some anomalous behaviors in the model with serious
potential consequences in the actual implementation. The
fact that errors can be identified before a safety-critical
system is deployed in the field not only eliminates sources
of very serious problems, but also makes it significantly
less expensive to debug the system.