Bisimulation through probabilistic testing
Information and Computation
Reactive, generative, and stratified models of probabilistic processes
Information and Computation
Composition and behaviors of probabilistic I/O automata
Theoretical Computer Science
Testing preorders for probabilistic processes
Information and Computation
Coordination Algorithm for Distributed Testing
The Journal of Supercomputing
Discrete time generative-reactive probabilistic processes with different advancing speeds
Theoretical Computer Science
Testing Probabilistic and Nondeterministic Processes
Proceedings of the IFIP TC6/WG6.1 Twelth International Symposium on Protocol Specification, Testing and Verification XII
Syntactic Detection of Process Divergence and Non-local Choice inMessage Sequence Charts
TACAS '97 Proceedings of the Third International Workshop on Tools and Algorithms for Construction and Analysis of Systems
Fault Model-Driven Test Derivation from Finite State Models: Annotated Bibliography
MOVEP '00 Proceedings of the 4th Summer School on Modeling and Verification of Parallel Processes
Testing Transition Systems: An Annotated Bibliography
MOVEP '00 Proceedings of the 4th Summer School on Modeling and Verification of Parallel Processes
Testing Equivalences and Fully Abstract Models for Probabilistic Processes
CONCUR '90 Proceedings of the Theories of Concurrency: Unification and Extension
Testing Probabilistic Automata
CONCUR '96 Proceedings of the 7th International Conference on Concurrency Theory
Generating Synchronizable Test Sequences Based on Finite State Machine with Distributed Ports
Proceedings of the IFIP TC6/WG6.1 Sixth International Workshop on Protocol Test systems VI
Factorized Test Generation for Multi-Input/Output Transition Systems
IWTCS Proceedings of the IFIP TC6 11th International Workshop on Testing Communicating Systems
Specification, testing and implementation relations for symbolic-probabilistic systems
Theoretical Computer Science
Practical Model-Based Testing: A Tools Approach
Practical Model-Based Testing: A Tools Approach
Characterising Testing Preorders for Finite Probabilistic Processes
LICS '07 Proceedings of the 22nd Annual IEEE Symposium on Logic in Computer Science
A testing scenario for probabilistic processes
Journal of the ACM (JACM)
The Effect of the Distributed Test Architecture on the Power of Testing
The Computer Journal
Implementation Relations for the Distributed Test Architecture
TestCom '08 / FATES '08 Proceedings of the 20th IFIP TC 6/WG 6.1 international conference on Testing of Software and Communicating Systems: 8th International Workshop
Using formal specifications to support testing
ACM Computing Surveys (CSUR)
Controllable Test Cases for the Distributed Test Architecture
ATVA '08 Proceedings of the 6th International Symposium on Automated Technology for Verification and Analysis
Mutation testing from probabilistic and stochastic finite state machines
Journal of Systems and Software
Model based testing with labelled transition systems
Formal methods and testing
Formal testing of timed and probabilistic systems
ICTSS'11 Proceedings of the 23rd IFIP WG 6.1 international conference on Testing software and systems
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There has been much interest in the testing of systems that have physically distributed interfaces and this has been encouraged by recent trends towards the use of such systems. Most formal work in this area has considered the testing of deterministic systems based on deterministic models. However, distributed systems are usually nondeterministic and often can be seen as probabilistic systems in which required or expected probabilities can be attached to the allowable events. This paper provides a formal testing framework for systems with physically distributed interfaces where nondeterministic decisions among alternatives are probabilistically quantified. It first considers testing from systems where there is a unique type of action. In this setting, a generative interpretation of probabilities is adequate and a formal framework to test these systems is provided. However, the observable events of a system are usually divided into inputs and outputs. In such situations it is necessary to use the reactive interpretation of probabilities.