Andere Kunden interessierten sich auch für
![Positive Feedback in Constraint-Based Tutors]( "Positive Feedback in Constraint-Based Tutors")
Positive Feedback in Constraint-Based Tutors59,00 €![Constraint Satisfaction in Ordinary Differential Equations]( "Constraint Satisfaction in Ordinary Differential Equations")
Constraint Satisfaction in Ordinary Differential Equations42,99 €![Inductive Databases and Constraint-Based Data Mining]( "Inductive Databases and Constraint-Based Data Mining")
Inductive Databases and Constraint-Based Data Mining81,99 €![Measuring conic properties and shape orientations]( "Measuring conic properties and shape orientations")
Measuring conic properties and shape orientations42,99 €![Constraint Solving and Planning with Picat]( "Constraint Solving and Planning with Picat")
Constraint Solving and Planning with Picat41,99 €![Comparing of Real-Time Properties in Networks Based On IPv6 and IPv4]( "Comparing of Real-Time Properties in Networks Based On IPv6 and IPv4")
Comparing of Real-Time Properties in Networks Based On IPv6 and IPv439,99 €![Extending the Gecode Framework with Interval Constraint Programming]( "Extending the Gecode Framework with Interval Constraint Programming")
Extending the Gecode Framework with Interval Constraint Programming28,99 €
Model checking is a verification method developed to
test finite-state systems (e.g., communication
protocols, hardware circuits) against properties
expressed as formulas in temporal logic. The method
has proved successful in finding design flaws in many
real-life applications. Nevertheless,
models especially of software systems often tend to
have unbounded number of states. Traditionally,
verifying such systems using model checkers requires
first abstracting the systems into finite-state
models. We introduce a unified, automata-based
representation for infinite-state systems and linear
temporal logic properties, and describe a
model-checking technique for such specifications. We
exploit constraint solving and logic programming to
implement an efficient and robust infrastructure for
our model checker, and apply this implementation to
analyze vulnerabilities of computer systems and
configurations.
test finite-state systems (e.g., communication
protocols, hardware circuits) against properties
expressed as formulas in temporal logic. The method
has proved successful in finding design flaws in many
real-life applications. Nevertheless,
models especially of software systems often tend to
have unbounded number of states. Traditionally,
verifying such systems using model checkers requires
first abstracting the systems into finite-state
models. We introduce a unified, automata-based
representation for infinite-state systems and linear
temporal logic properties, and describe a
model-checking technique for such specifications. We
exploit constraint solving and logic programming to
implement an efficient and robust infrastructure for
our model checker, and apply this implementation to
analyze vulnerabilities of computer systems and
configurations.