1991 · 69 citations · 28 references
An experimental comparison of the effectiveness of the all-uses and all-edges test data adequacy criteria was performed. A large number of test sets was randomly generated for each of nine subject programs with sub-tle errors. For each test set, the percentages of (exe-cutable) edges and definition-use associations covered were measured and it was determined whether the test set exposed an error. Hypothesis testing was used to investigate whether all-uses adequate test sets are more likely to expose errors than are all-edges adequate test sets. All-uses was shown to be significantly more effec-tive than all-edges for five of the subjects; moreover, for four of these, all-uses appeared to guarantee detection of the error. Further analysis showed that in four subjects, all-uses adequate test sets appeared to be more effective than all-edges adequate test sets of the same size. Lo-gistic regression showed that in some, but not all of the subjects there was a strong positive correlation between the percentage of definition-use associations covered by a test set and its error-exposing ability. 1.
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Numerical recipes: the art of scientific computing
W. H. Press, Brian P. Flannery, Saul A. Teukolsky et al. · Analytica Chimica Acta · 1987 · 3.2K citations
Numerical Analysis, Computational Science, Numerical Computation +7
Analysis of Ordinal Categorical Data.
Robert K. Tsutakawa, Alan Agresti · Journal of the American Statistical Association · 1985 · 1.6K citations · Full text
Reliability, Engineering, Data Set +15