Using predicate abstraction to reduce object-oriented programs for model checking
FMSP '00 Proceedings of the third workshop on Formal methods in software practice
Model checking Java programs using structural heuristics
ISSTA '02 Proceedings of the 2002 ACM SIGSOFT international symposium on Software testing and analysis
Lightweight Reasoning about Program Correctness
Information Systems Frontiers
Verifying Time Partitioning in the DEOS Scheduling Kernel
Formal Methods in System Design
Guarded models for intrusion detection
Proceedings of the 2007 workshop on Programming languages and analysis for security
Using statically computed invariants inside the predicate abstraction and refinement loop
CAV'06 Proceedings of the 18th international conference on Computer Aided Verification
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Modularization and abstraction are the keys to practical verification and analysis of large and complex systems. We present in an incremental methodology for the automatic analysis and verification of concurrent software systems. Our methodology is based on the theory of abstract interpretation. We first propose a compositional data flow analysis algorithm that computes invariants of concurrent systems by composing invariants generated separately for each component. We present a novel compositional rule allowing us to obtain invariants of the whole system as conjunctions of local invariants of each component. We also show how the generated invariants are used to construct, almost for free, finite state abstractions of the original system that preserve safety properties. This reduces dramatically the cost of computing such abstractions as reported in previous work. We finally give a novel refinement algorithm that refines the constructed abstraction until the property of interest is proved or a counterexample is exhibited. Our methodology is implemented in a framework that combines deductive methods supported by theorem proving techniques and algorithmic methods supported by model checking and abstract interpretation techniques.