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The problem of testing from an extended finite state machine (EFSM) can be expressed in terms of finding suitable paths through the EFSM and then deriving test data to follow the paths. A chosen path may be infeasible and so it is desirable to have methods that can direct the search for appropriate paths through the EFSM towards those that are likely to be feasible. However, generating feasible transition...
Search-based test data generation has been a considerably active research field recently. Several local and global search approaches have been proposed, but the investigation of artificial immune system (AIS) algorithms has been extremely limited. Our earlier results from testing six Java classes, exploiting a genetic algorithm (GA) to measure data- flow coverage, helped us identify a number of problematic...
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