Handbook of theoretical computer science (vol. B)
The complexity of probabilistic verification
Journal of the ACM (JACM)
Unreliable channels are easier to verify than perfect channels
Information and Computation
Undecidable verification problems for programs with unreliable channels
Information and Computation
Stutter-invariant temporal properties are expressible without the next-time operator
Information Processing Letters
On Communicating Finite-State Machines
Journal of the ACM (JACM)
Measure and probability for concurrency theorists
Theoretical Computer Science - Special issues on models and paradigms for concurrency
Verifying lossy channel systems has nonprimitive recursive complexity
Information Processing Letters
Probabilistic Lossy Channel Systems
TAPSOFT '97 Proceedings of the 7th International Joint Conference CAAP/FASE on Theory and Practice of Software Development
Model Checking Probabilistic Pushdown Automata
LICS '04 Proceedings of the 19th Annual IEEE Symposium on Logic in Computer Science
Simulating perfect channels with probabilistic lossy channels
Information and Computation
Verification of probabilistic systems with faulty communication
FOSSACS'03/ETAPS'03 Proceedings of the 6th International conference on Foundations of Software Science and Computation Structures and joint European conference on Theory and practice of software
Model checking lossy channels systems is probably decidable
FOSSACS'03/ETAPS'03 Proceedings of the 6th International conference on Foundations of Software Science and Computation Structures and joint European conference on Theory and practice of software
Quantitative analysis of probabilistic lossy channel systems
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
Quantitative analysis of probabilistic lossy channel systems
Information and Computation
Verifying nondeterministic probabilistic channel systems against ω-regular linear-time properties
ACM Transactions on Computational Logic (TOCL)
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Many protocols are designed to operate correctly even in the case where the underlying communication medium is faulty. To capture the behavior of such protocols, Lossy Channel Systems (LCS's) have been proposed. In an LCS the communication channels are modeled as unbounded FIFO buffers which are unreliable in the sense that they can nondeterministically lose messages. Recently, several attempts have been made to study Probabilistic Lossy Channel Systems (PLCS's) in which the probability of losing messages is taken into account. In this article, we consider a variant of PLCS's which is more realistic than those studied previously. More precisely, we assume that during each step in the execution of the system, each message may be lost with a certain predefined probability. We show that for such systems the following model-checking problem is decidable: to verify whether a linear-time property definable by a finite-state ω-automaton holds with probability one. We also consider other types of faulty behavior, such as corruption and duplication of messages, and insertion of new messages, and show that the decidability results extend to these models.