Title :
Bivariate Software Fault-Detection Models
Author :
Ishii, Tomotaka ; Dohi, Tadashi ; Okamura, Hiroyuki
Author_Institution :
Hiroshima Univ., Hiroshima
Abstract :
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.
Keywords :
binomial distribution; software reliability; binomial process; bivariate software fault-detection models; calendar time; software reliability; test-execution time; Calendars; Hazards; Reliability engineering; Software debugging; Software measurement; Software reliability; Software testing; Statistical distributions; Stochastic processes; Time measurement;
Conference_Titel :
Computer Software and Applications Conference, 2007. COMPSAC 2007. 31st Annual International
Conference_Location :
Beijing
Print_ISBN :
0-7695-2870-8
DOI :
10.1109/COMPSAC.2007.85
