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Monitoring and checking the execution of a distributed program incur significant overhead due to the large number of states that need to be considered. This paper addresses two important aspects in tackling this problem: (a) atomization of the events that occur in a run, and (b) exploiting partial order semantics rather than interleaving semantics. Atomization is used to simplify analysis by compressing...
The execution of a distributed program generates a large state space which needs to be checked in testing and debugging. Atoms are useful abstractions in reducing the state lattice of a distributed computation; we refer to the reduced lattice as the atomic state lattice. However, general predicates remain difficult to check if they are asserted over all states. This paper presents a formulation to...
The execution of a distributed program generates a large state space which needs to be checked in testing and debugging. This state space can be reduced by using atoms corresponding to code blocks before performing the checking of the required program properties. This paper presents our results in using atoms which are known at program design time for this purpose. We consider the impact of incomplete...
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