We carry out Bayesian inference for the Jelinski-Moranda and Littlewood software failure models given a sample of failure times. Furthermore, we illustrate how to assess the optimal length of an additional pre-release testing period under each of these models. Modern Bayesian computational methods are used to estimate the posterior expected utility of testing for and additional time.
@article{urn:eudml:doc:42115, title = {Bayesian inference and optimal release times. For two software failure models}, journal = {Revista de la Real Academia de Ciencias Exactas F\'\i sicas y Naturales}, volume = {92}, year = {1998}, pages = {323-328}, zbl = {1278.62164}, language = {en}, url = {http://dml.mathdoc.fr/item/urn:eudml:doc:42115} }
Wiper, W. P.; Ríos Insua, D.; Hierons, R. Bayesian inference and optimal release times. For two software failure models. Revista de la Real Academia de Ciencias Exactas Físicas y Naturales, Tome 92 (1998) pp. 323-328. http://gdmltest.u-ga.fr/item/urn:eudml:doc:42115/