TY - GEN
T1 - Assessing the fault-detecting ability of testing methods
AU - Frankl, Phyllis G.
AU - Weyuker, Elaine J.
N1 - Funding Information:
Over the last several years, researchers have defined a wide variety of software testing techniques, studied their properties, and built tools based on some of them. Recently, there has been increasing interest in the question of how techniques compare to one another in terms of their ability to expose faults. [9] provides a survey of comparison methods proposed in the literature. Although this is an *Author’s address: Computer Science Dept., Polytechnic University, 333 Jay St., Brooklyn, N.Y. 11201. Supported by NSF Grant CCR-8810287 and by the New York State Science and Technology Foundation Center for Advanced Tech-nology program, tAuthor’s address: Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY 10012. Supported by NSF grant CCR-S920701 and by NASA grant NAG-1238.
Publisher Copyright:
© 1991 ACM.
PY - 1991/9/1
Y1 - 1991/9/1
N2 - It is important to be able to assess the fault detection capabilities of proposed software testing techniques. It is not enough for a researcher to introduce new techniques and assure us that they are good. There must be precise ways of comparing criteria and rating them based on their fault detection ability. With this in mind, several relationships between software testing criteria are studied in this paper. For each of these relations R, we investigate whether R(C1,C2) guarantees that criterion C1 is better at detecting faults than C2, according to various probabilistic measures.
AB - It is important to be able to assess the fault detection capabilities of proposed software testing techniques. It is not enough for a researcher to introduce new techniques and assure us that they are good. There must be precise ways of comparing criteria and rating them based on their fault detection ability. With this in mind, several relationships between software testing criteria are studied in this paper. For each of these relations R, we investigate whether R(C1,C2) guarantees that criterion C1 is better at detecting faults than C2, according to various probabilistic measures.
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U2 - 10.1145/125083.123056
DO - 10.1145/125083.123056
M3 - Conference contribution
AN - SCOPUS:84055211216
SN - 0897914554
SN - 9780897914550
T3 - Proceedings of the Conference on Software for Citical Systems, SIGSOFT 1991
SP - 77
EP - 91
BT - Proceedings of the Conference on Software for Citical Systems, SIGSOFT 1991
PB - Association for Computing Machinery, Inc
T2 - 1991 Conference on Software for Citical Systems, SIGSOFT 1991
Y2 - 4 December 1991 through 6 December 1991
ER -