Learning regular sets from queries and counterexamples
Information and Computation
Program verification: the very idea
Communications of the ACM
Handbook of theoretical computer science (vol. B): formal models and semantics
Handbook of theoretical computer science (vol. B): formal models and semantics
Formal methods: state of the art and future directions
ACM Computing Surveys (CSUR) - Special ACM 50th-anniversary issue: strategic directions in computing research
Model checking
An axiomatic basis for computer programming
Communications of the ACM
Understanding Formal Methods
TACAS '02 Proceedings of the 8th International Conference on Tools and Algorithms for the Construction and Analysis of Systems
Specification and verification of concurrent systems in CESAR
Proceedings of the 5th Colloquium on International Symposium on Programming
Design and Synthesis of Synchronization Skeletons Using Branching-Time Temporal Logic
Logic of Programs, Workshop
Human Problem Solving
Abstraction in Computer Science
Minds and Machines
Temporal Logic and State Systems (Texts in Theoretical Computer Science. An EATCS Series)
Temporal Logic and State Systems (Texts in Theoretical Computer Science. An EATCS Series)
Principles of Model Checking (Representation and Mind Series)
Principles of Model Checking (Representation and Mind Series)
Proceedings of the 6th ACM workshop on Formal methods in security engineering
Computational virtuality in biological systems
Theoretical Computer Science
Some Philosophical Issues in Computer Science
Minds and Machines
Abstraction and Idealization in the Formal Verification of Software Systems
Minds and Machines
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Model checking, a prominent formal method used to predict and explain the behaviour of software and hardware systems, is examined on the basis of reflective work in the philosophy of science concerning the ontology of scientific theories and model-based reasoning. The empirical theories of computational systems that model checking techniques enable one to build are identified, in the light of the semantic conception of scientific theories, with families of models that are interconnected by simulation relations. And the mappings between these scientific theories and computational systems in their scope are analyzed in terms of suitable specializations of the notions of model of experiment and model of data. Furthermore, the extensively mechanized character of model-based reasoning in model checking is highlighted by a comparison with proof procedures adopted by other formal methods in computer science. Finally, potential epistemic benefits flowing from the application of model checking in other areas of scientific inquiry are emphasized in the context of computer simulation studies of biological information processing.