Bivariate Software Fault-Detection Models
Tomotaka Ishii, Tadashi Dohi, Hiroyuki Okamura · Proceedings - International Computer Software & Applications Conference · 2007
In this paper, we develop bivariate software fault-detection models with two time measures: calendar time (day) and test-execution time (CPU time) and incorporate both of them to assess the quantitative software reliability with higher accuracy. The resulting stochastic models are characterized by a simple binomial process and the bivariate order statistics of software fault-detection times with different time scales.