Paper Info
Title
Effect of test set size and block coverage on the fault detection effectiveness
Abstract
Size and code coverage are two important attributes that characterize a set of tests. When a program P is executed on elements of a test set T, we can observe the fault-detecting capacity of T for P. We can also observe the degree to which T induces code coverage on P according to some coverage criterion. We would like to know whether it is the size of T or the coverage of T on P which determines the fault detection effectiveness (FDE) of T for P. We found that there is little or no reduction in the FDE of a test set when its size is reduced while the all-uses coverage is kept constant. These data suggest, indirectly, that coverage is more correlated than the size with the FDE. To further investigate this suggestion, we report an empirical study to compare the statistical correlation between (1) FDE and coverage, and (2) FDE and the size. Results from our experiments indicate that the correlation between FDE and block coverage is higher than that between FDE and size
Year
DOI
Venue
1994
10.1109/ISSRE.1994.341379
Monterey, CA
Keywords
Field
DocType
program testing,software fault tolerance,all-uses coverage,block coverage,code coverage,fault detection effectiveness,fault-detecting capacity,statistical correlation,test set size
Code coverage,Fault coverage,Fault detection and isolation,Computer science,Software fault tolerance,Real-time computing,Correlation,Statistical correlation,Modified condition/decision coverage,Reliability engineering,Test set
Conference
Citations 
PageRank 
References 
57
11.13
9
Authors
4
Name
Order
Citations
PageRank
W. E. Wong139833.78
Joseph Robert Horgan21232132.79
London, S.39716.45
A. P. Mathur424336.71