%0 Journal Article %T NHPP Software Reliability Growth Model Considering Imperfect Debugging
考虑不完美排错情况的NHPP 类软件可靠性增长模型 %A XIE Jing-Yan %A AN Jin-Xia %A ZHU Ji-Hong %A
谢景燕 %A 安金霞 %A 朱纪洪 %J 软件学报 %D 2010 %I %X Addressing at the problem that the considerations of imperfect debugging phenomenon in the existing software reliability growth model are limited, this paper proposes a software reliability growth model which takes into account of the imperfect debugging comprehensively. Both the fault introduction and the fault removal efficiency are considered in this model, and a time-dependent fault removal efficiency function is introduced. The goodness-of-fit and the predictive power of the new model are examined by using a public software failure data set. The results show that compared with other existing models, the proposed model fits the failure data better and can predict this set of data more accurately. %K software reliability growth model (SRGM) %K nonhomogeneous Poisson process (NHPP) %K imperfect debugging %K fault removal efficiency %K fault introduction rate
软件可靠性增长模型 %K 非齐次泊松过程 %K 不完美排错 %K 故障排错率 %K 错误引入率 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=3BD4D3FC362789EB2DAE5EAF6A33B886&yid=140ECF96957D60B2&vid=659D3B06EBF534A7&iid=E158A972A605785F&sid=72D13CE6C162BDF4&eid=BFB3B49B74E638B4&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=19