Feature-Based Decomposition of Inductive Proofs Applied to Real-Time Avionics Software: An Experience Report
Abstract
The hardware and software in modern aircraft control systems are good candidates for verification using formal methods: they are complex, safety-critical, and challenge the capabilities of test-based verification strategies. We have previously reported on our use of model checking to verify the time partitioning property of the Deos/spl trade/ real-time operating system for embedded avionics. The size and complexity of this system have limited us to analyzing only one configuration at a time. To overcome this limit and generalize our analysis to arbitrary configurations we have turned to theorem proving. This paper describes our use of the PVS theorem prover to analyze the Deos scheduler. In addition to our inductive proof of the time partitioning invariant, we present a feature-based technique for modeling state-transition systems and formulating inductive invariants. This technique facilitates an incremental approach to theorem proving that scales well to models of increasing complexity, and has the potential to be applicable to a wide range of problems.
BibTeX
@inproceedings{Ha-al:ICSE04,
author = {Vu Ha and
Murali Rangarajan and
Darren D. Cofer and
Harald Rue{\ss} and
Bruno Dutertre},
title = {{Feature-Based} Decomposition of Inductive Proofs Applied to {Real-Time} Avionics Software: An Experience Report},
booktitle = {ICSE},
pages = {304--313},
publisher = {{IEEE} Computer Society},
year = {2004},
}