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
Link To Document :
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