DocumentCode :
2165681
Title :
Benchmarking Testing Strategies with Tools from Mutation Analysis
Author :
Guderlei, R. ; Just, R. ; Schneckenburger, C. ; Schweiggert, F.
Author_Institution :
Inst. of Appl. Inf. Process., Ulm Univ., Ulm
fYear :
2008
fDate :
9-11 April 2008
Firstpage :
360
Lastpage :
364
Abstract :
The assessment of a testing strategy and the comparison of different testing strategies is a crucial part in current research on software testing. Often, manual error seeding is used to generate faulty programs. As a consequence, the results obtained from the examination of these programs are often not reproducible and likely to be biased. In this paper, a flexible approach to the benchmarking of testing strategies is presented. The approach utilizes well- known results from mutation analysis to construct an objective effectiveness measure for test oracles. This measure allows to draw conclusions not only on the effectiveness of a single testing strategy but also to compare different testing strategies by their effectiveness measure.
Keywords :
program testing; software tools; benchmarking testing strategies; manual error seeding; mutation analysis; software testing; Automatic testing; Automation; Benchmark testing; Computer errors; Fault detection; Genetic mutations; Information analysis; Information processing; Programming profession; Software testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Testing Verification and Validation Workshop, 2008. ICSTW '08. IEEE International Conference on
Conference_Location :
Lillehammer
Print_ISBN :
978-0-7695-3388-9
Type :
conf
DOI :
10.1109/ICSTW.2008.11
Filename :
4567034
Link To Document :
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