DocumentCode :
1442835
Title :
High performance software testing on SIMD machines
Author :
Krauser, Edward W. ; Mathur, Aditya P. ; Rego, Vernon J.
Author_Institution :
Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA
Volume :
17
Issue :
5
fYear :
1991
fDate :
5/1/1991 12:00:00 AM
Firstpage :
403
Lastpage :
423
Abstract :
A method for high-performance, software testing, called mutant unification, is described. The method is designed to support program mutation on parallel machines based on the single instruction multiple data stream (SIMD) paradigm. Several parameters that affect the performance of unification have been identified and their effect on the time to completion of a mutation test cycle and speedup has been studied. Program mutation analysis provides an effective means for determining the reliability of large software systems and a systematic method for measuring the adequacy of test data. However, it is likely that testing large software systems using mutation is computation bound and prohibitive on traditional sequential machines. Current, implementations of mutation tools are unacceptably slow and are only suitable for testing relatively small programs. The proposed unification method provides a practical alternative to the current approaches. The method also opens up a new application domain for SIMD machines
Keywords :
parallel machines; program testing; software reliability; SIMD machines; mutant unification; parallel machines; program mutation; single instruction multiple data stream; software reliability; software systems; software testing; Application software; Educational institutions; Genetic mutations; Life testing; Parallel machines; Sequential analysis; 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 :
10.1109/32.90444
Filename :
90444
Link To Document :
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