Title :
An analytical comparison of the fault-detecting ability of data flow testing techniques
Author :
Frankl, Phyllis G. ; Weyuker, Elaine J.
Author_Institution :
Dept. of Comput. Sci., Polytech. Univ., Brooklyn, NY, USA
Abstract :
Compares several data flow based software testing criteria to one another and to branch testing. The fact that criterion C1 subsumes criterion C2, does not guarantee that C1 is better at detecting faults than C2. However, if a certain stronger relation between the criteria holds, then for any program and any specification, C1 is guaranteed to be better at detecting faults than C2 in the following sense: a test suite selected by independent random selection of one test case from each C1 subdomain is at least as likely to detect a fault as a suite similarly selected using C2. It is shown that under those conditions, the expected number of failure-causing inputs in the C1 test suite. These results are used to compare a number of data flow testing criteria to one another and to branch testing
Keywords :
error detection; formal specification; parallel processing; program testing; branch testing; data flow testing techniques; failure-causing inputs; fault-detecting ability; independent random selection; software testing criteria; specification; test suite; Computer bugs; Computer science; Data analysis; Fault detection; NASA; Space technology; Testing;
Conference_Titel :
Software Engineering, 1993. Proceedings., 15th International Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-8186-3700-5
DOI :
10.1109/ICSE.1993.346024