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
On Communicating Finite-State Machines
Journal of the ACM (JACM)
Algorithmic analysis of programs with well quasi-ordered domains
Information and Computation - Special issue: LICS 1996—Part 1
Measure and probability for concurrency theorists
Theoretical Computer Science - Special issues on models and paradigms for concurrency
Well-structured transition systems everywhere!
Theoretical Computer Science
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Verifying lossy channel systems has nonprimitive recursive complexity
Information Processing Letters
On Verifying Fair Lossy Channel Systems
MFCS '02 Proceedings of the 27th International Symposium on Mathematical Foundations of Computer Science
Bisimulation and Other Undecidable Equivalences for Lossy Channel Systems
TACS '01 Proceedings of the 4th International Symposium on Theoretical Aspects of Computer Software
Protocol Description and Analysis Based on a State Transition Model with Channel Expressions
Proceedings of the IFIP WG6.1 Seventh International Conference on Protocol Specification, Testing and Verification VII
Probabilistic Lossy Channel Systems
TAPSOFT '97 Proceedings of the 7th International Joint Conference CAAP/FASE on Theory and Practice of Software Development
Undecidable problems in unreliable computations
Theoretical Computer Science - Latin American theoretical informatics
Using Forward Reachability Analysis for Verification of Lossy Channel Systems
Formal Methods in System Design
Simulating perfect channels with probabilistic lossy channels
Information and Computation
Decidability of the termination problem for completely specified protocols
Distributed Computing
Verification of probabilistic systems with faulty communication
Information and Computation
A note on the attractor-property of infinite-state Markov chain
Information Processing Letters
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
Mixing Lossy and Perfect Fifo Channels
CONCUR '08 Proceedings of the 19th international conference on Concurrency Theory
Stochastic games with lossy channels
FOSSACS'08/ETAPS'08 Proceedings of the Theory and practice of software, 11th international conference on Foundations of software science and computational structures
Lossy counter machines decidability cheat sheet
RP'10 Proceedings of the 4th international conference on Reachability problems
Qualitative reachability in stochastic BPA games
Information and Computation
LPAR'06 Proceedings of the 13th international conference on Logic for Programming, Artificial Intelligence, and Reasoning
FORTE'06 Proceedings of the 26th IFIP WG 6.1 international conference on Formal Techniques for Networked and Distributed Systems
Unidirectional channel systems can be tested
TCS'12 Proceedings of the 7th IFIP TC 1/WG 202 international conference on Theoretical Computer Science
Stochastic parity games on lossy channel systems
QEST'13 Proceedings of the 10th international conference on Quantitative Evaluation of Systems
Computable fixpoints in well-structured symbolic model checking
Formal Methods in System Design
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Lossy channel systems (LCS's) are systems of finite state processes that communicate via unreliable unbounded fifo channels. We introduce NPLCS's, a variant of LCS's where message losses have a probabilistic behavior while the component processes behave nondeterministically, and study the decidability of qualitative verification problems for ω-regular linear-time properties. We show that—in contrast to finite-state Markov decision processes—the satisfaction relation for linear-time formulas depends on the type of schedulers that resolve the nondeterminism. While the qualitative model checking problem for the full class of history-dependent schedulers is undecidable, the same question for finite-memory schedulers can be solved algorithmically. Additionally, some special kinds of reachability, or recurrent reachability, qualitative properties yield decidable verification problems for the full class of schedulers, which—for this restricted class of problems—are as powerful as finite-memory schedulers, or even a subclass of them.