Software Reliability Modeling with Randomness of Fault Correction Probability
The assumption of perfect debugging is a controversial issue in software reliability modeling. However, reasonable methods for estimating the fault correction probability (FCP), which represents the probability that a fault is corrected and removed from the software system perfectly when a debugging activity is performed, remain to be established. This paper discusses the imperfect debugging modeling for software reliability measurement considering the randomness of the PCP, i.e., the FCP is treated as a random-distributed variable. We use the nonhomogeneous Poisson process (NHPP) to describe the software failure-occurrence phenomenon. We rederive the mean value function representing the expected cumulative number of faults detected up to time t, and several software reliability assessment measures. Finally, we show several numerical analyses to investigate the impact of the randomness of the FCP on software reliability evaluation.
Software reliability Imperfect debugging Randomness of fault correction probability NHPP
KOICHI TOKUNO SHIGERU YAMADA
Department of Social Management Engineering, Graduate School of Engineering, Tottori University, Tottori-shi,680-8552, Japan
国际会议
北京
英文
280-286
2011-06-20（万方平台首次上网日期，不代表论文的发表时间）