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<p>Rule-based software test data generation is proposed as an alternative to either path/predicate analysis or random data generation. A prototype rule-based test data generator for Ada programs is constructed and compared to a random test data generator. Four Ada procedures are used in the comparison. Approximately 2000 rule-based test cases and 100000 randomly generated test cases are automatically generated and executed. The success of the two methods is compared using standard coverage metrics. Simple statistical tests showing that even the primitive rule-based test data generation prototype is significantly better than random data generation are performed. This result demonstrates that rule-based test data generation is feasible and shows great promise in assisting test engineers, especially when the rule base is developed further.</p>
rule-based software test data generator; path/predicate analysis; random data generation; Ada programs; statistical tests; artificial intelligence; knowledge based systems; program testing

D. Brown, W. Deason, K. Chang and J. Cross II, "A Rule-Based Software Test Data Generator," in IEEE Transactions on Knowledge & Data Engineering, vol. 3, no. , pp. 108-117, 1991.
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