TY - GEN
T1 - Finding faults
T2 - 19th International Symposium on Software Reliability Engineering, ISSRE 2008
AU - Ciupa, Ilinca
AU - Meyer, Bertrand
AU - Oriol, Manuel
AU - Pretschner, Alexander
PY - 2008
Y1 - 2008
N2 - The usual way to compare testing strategies, whether theoretically or empirically, is to compare the number of faults they detect. To ascertain definitely that a testing strategy is better than another, this is a rather coarse criterion: shouldn't the nature of faults matter as well as their number? The empirical study reported here confirms this conjecture. An analysis of faults detected in Eiffel libraries through three different techniques-random tests, manual tests, and user incident reports-shows that each is good at uncovering significantly different kinds of faults. None of the techniques subsumes any of the others, but each brings distinct contributions.
AB - The usual way to compare testing strategies, whether theoretically or empirically, is to compare the number of faults they detect. To ascertain definitely that a testing strategy is better than another, this is a rather coarse criterion: shouldn't the nature of faults matter as well as their number? The empirical study reported here confirms this conjecture. An analysis of faults detected in Eiffel libraries through three different techniques-random tests, manual tests, and user incident reports-shows that each is good at uncovering significantly different kinds of faults. None of the techniques subsumes any of the others, but each brings distinct contributions.
UR - http://www.scopus.com/inward/record.url?scp=67249134092&partnerID=8YFLogxK
U2 - 10.1109/ISSRE.2008.18
DO - 10.1109/ISSRE.2008.18
M3 - Conference contribution
AN - SCOPUS:67249134092
SN - 9780769534053
T3 - Proceedings - International Symposium on Software Reliability Engineering, ISSRE
SP - 157
EP - 166
BT - Proceedings - 19th International Symposium on Software Reliability Engineering, ISSRE 2008
Y2 - 10 November 2008 through 14 November 2008
ER -