We present a sequential software release procedure that certifies with some confidence level that the next error is not occurring within a certain time interval. Our procedure is defined in such a way that the release time is optimal for single stages and the global risk can be controlled. We assume that the failure detection process can be modeled as a General Order Statistics model where its unknown parameters are studied from a Bayesian point of view. We show how to implement our procedure and study its performance via simulation.
|Title of host publication||Proceedings XXXI Congreso Nacional de Estadística e Investigación Operativa (SEIO 2009, Murcia, Spain, February 10-13, 2009)|
|Publication status||Published - 2009|