DocumentCode
2027964
Title
A revisit of the proportional sampling strategy
Author
Leung, Hing ; Chen, T.Y.
Author_Institution
Dept. of Comput. Sci., New Mexico State Univ., Las Cruces, NM, USA
fYear
2000
fDate
2000
Firstpage
247
Lastpage
253
Abstract
When test cases are selected with replacement, we have Ppss ⩾Pr, where Ppss and Pr are the probabilities of detecting at least one failure by the proportional sampling strategy and random testing respectively. However, recent results on the proportional sampling strategy have highlighted that P pss⩾Pr may be very sensitive to whether test cases are selected with or without replacement. The paper provides more insights into this important issue, as the proportional sampling strategy is the most practically applicable partition testing strategy and it always performs better than random testing
Keywords
probability; program testing; sampling methods; partition testing; partition testing strategy; proportional sampling strategy; random testing; software testing; test case selection with replacement; test cases; Computer science; Computer science education; Costs; Failure analysis; Mathematics; Performance evaluation; Sampling methods; Software testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering Conference, 2000. Proceedings. 2000 Australian
Conference_Location
Canberra, ACT
Print_ISBN
0-7695-0631-3
Type
conf
DOI
10.1109/ASWEC.2000.844581
Filename
844581
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