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A rule-based software test data generatorRule-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 100,000 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.
Document ID
Document Type
Reprint (Version printed in journal)
External Source(s)
Deason, William H.
(Rust International Birmingham, AL, United States)
Brown, David B.
(Auburn Univ. AL, United States)
Chang, Kai-Hsiung
(Auburn Univ. AL, United States)
Cross, James H., II
(Auburn University AL, United States)
Date Acquired
August 14, 2013
Publication Date
March 1, 1991
Publication Information
Publication: IEEE Transactions on Knowledge and Data Engineering
Volume: 3
ISSN: 1041-4347
Subject Category
Computer Programming And Software
Accession Number
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