DocumentCode
1502532
Title
Constraint-based automatic test data generation
Author
DeMilli, R.A. ; Offutt, A. Jefferson
Author_Institution
Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA
Volume
17
Issue
9
fYear
1991
fDate
9/1/1991 12:00:00 AM
Firstpage
900
Lastpage
910
Abstract
A novel technique for automatically generating test data is presented. The technique is based on mutation analysis and creates test data that approximate relative adequacy. It is a fault-based technique that uses algebraic constraints to describe test cases designed to find particular types of faults. A set of tools (collectively called Godzilla) that automatically generates constraints and solves them to create test cases for unit and module testing has been implemented. Godzilla has been integrated with the Mothra testing system and has been used as an effective way to generate test data that kill program mutants. The authors present an initial list of constraints and discuss some of the problems that have been solved to develop the complete implementation of the technique
Keywords
computational complexity; program testing; Godzilla; Mothra testing system; algebraic constraints; automatic test data generation; constraint-based data generation; fault-based technique; module testing; mutation analysis; relative adequacy; Algorithms; Automatic testing; Computer science; Costs; Fault detection; Genetic mutations; Software engineering; Software systems; Software testing; System testing;
fLanguage
English
Journal_Title
Software Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0098-5589
Type
jour
DOI
10.1109/32.92910
Filename
92910
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