NDLI: Inductively Verifying Invariant Properties of Parameterized Systems

Content Provider	Springer Nature Link
Author	Roychoudhury, Abhik Ramakrishnan, I.V.
Copyright Year	2004
Abstract	Verification of distributed algorithms can be naturally cast as verifying parameterized systems, the parameter being the number of processes. In general, a parameterized concurrent system represents an infinite family (of finite state systems) parameterized by a recursively defined type such as chains, trees. It is therefore natural to verify parameterized systems by inducting over this type. However, construction of such proofs require combination of model checking with deductive capability. In this paper, we develop a logic program transformation based proof methodology which achieves this combination. One of our transformations (unfolding) represents a single resolution step. Thus model checking can be achieved by repeated application of unfolding. Other transformations (such as folding) represent deductive reasoning and help recognize the induction hypothesis in an inductive proof. Moreover the unfolding and folding transformations can be arbitrarily interleaved in a proof, resulting in a tight integration of decision procedures (such as model checking) with deductive verification.Based on this technique, we have designed and implemented an invariant prover for parameterized systems. Our proof technique is geared to automate nested induction proofs which do not involve strengthening of induction hypothesis. The prover has been used to automatically verify invariant properties of parameterized cache coherence protocols, including broadcast protocols and protocols with global conditions. Furthermore, we have employed the prover for automatic verification of mutual exclusion in the Java Meta-Locking Algorithm. Meta-Locking is a distributed algorithm developed recently by designers in Sun Microsystems for ensuring secure access of Java objects by an arbitrary number of Java threads.
Starting Page	101
Ending Page	139
Page Count	39
File Format	PDF
ISSN	09288910
Journal	Automated Software Engineering
Volume Number	11
Issue Number	2
e-ISSN	15737535
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2004-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Software

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