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頁籤選單縮合
題名 | 軟體可靠度之統計模型=A Statistical Model for Software Reliability |
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作者 | 陳榮治; 陳仁義; Chen, Jung-chih; Chen, Zen-yi; |
期刊 | 嘉義農專學報 |
出版日期 | 19970200 |
卷期 | 50 1997.02[民86.02] |
頁次 | 頁159-172 |
分類號 | 312.49 |
語文 | chi |
關鍵詞 | 軟體可靠度; 故障率; 非同質布瓦松過程; 拉普拉斯轉換; 最大概似估計; Software reliability; Failure rate; Non-homogeneous poisson process; Laplace transform; Maximum likelihood estimate; |
中文摘要 | 我們推導有關軟體可靠度之統計模型。假設軟體中有兩種類型的錯誤,即主要錯 誤( Primary fault )及第二種錯誤( Secondary fault )。前者的發生服從NHPP( Non-Homogeneous Poisson Process ),其能成功地被修正的機率為p,而未能被修正的錯 誤,則導致第二種錯誤的發生。在此假設第二種錯誤的發生時間服從 Gamma(2, λ ),其能 成功地被修正的機率為q,q>p。 最後, 我們並用實際的模擬資料, 比較 Goel and Okumoto([4],1979) 的NHPP模型, Zeephongsekul 等人 ([14],1994) 的Exp模型以及我們的 Gamma 模型。 |
英文摘要 | A statistical model for software reliability has been developed. We consider a model with imperfect debugging which includes the possibility of introducing new faults into the system. The original faults manifest themselves as primary faults and are assumed to be distributed as a non-homogeneous Poisson process (NHPP). Imperfect debugging of each primary faults induces a secondary faults which is assumed to occur in a delayed sense from the occurrence time of the primary fault. We assume. p and q to represent the probability for successfully removing a primary and secondary faults respectively. In addition, simulation and comparison have been made from real data by our Gamma model, NHPP model proposed by Goel and Okumoto [4], and Exponential model developed by Zeephongsekul et al [14]. |
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