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An experimental comparison of the effectiveness of branch testing and data flow testing.pdf

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An experimental comparison of the effectiveness of branch testing and data flow testing

An Experimental Comparison of the Eectivenessof Branch Testing and Data Flow TestingPhyllis G. Frankl Stewart N. WeissyAbstractAn experiment comparing the eectiveness of the all-uses and all-edges testdata adequacy criteria was performed. The experiment was designed so as toovercome some of the de ciencies of previous software testing experiments.A large number of test sets was randomly generated for each of nine subjectprograms with subtle errors. For each test set, the percentages of executableedges and de nition-use associations covered were measured and it was deter-mined whether the test set exposed an error. Hypothesis testing was used toinvestigate whether all-uses adequate test sets are more likely to expose errorsthan are all-edges adequate test sets. All-uses was signi cantly more eectivethan all-edges for ve of the subjects, and appeared guaranteed to detectthe error in four of them. Further analysis showed that in four of these sub-jects, all-uses-adequate test sets were more eective than all-edges-adequatetest sets of similar size. Logistic regression analysis was used to investigatewhether the probability that a test set exposes an error increases as the per-centage of de nition-use associations or edges covered by it increases. Theevidence did not strongly support this conjecture. Error exposing ability wasshown to be strongly positively correlated to percentage of covered de nition-use associations in only four of the nine subjects. Error exposing ability wasalso shown to be positively correlated to the percentage of covered edges infour (dierent) subjects, but the relationship was weaker.Authors address: Computer Science Dept., Polytechnic University, 6 Metrotech Center, Brooklyn,N.Y. 11201. E-mail: pfrankl@poly.edu. Supported in part by NSF Grants CCR-8810287 and CCR-9206910 and by the New York State Science and Technology Foundation Center for Advanced Technologyprogram.yAuthors address: Computer Science Dept., Hunter College, 695 Park Av