過去三十年來，軟體可靠度的研究一直不斷地持續進行著，許多專家學者們 也提出了各種軟體可靠度成長模型來評估軟體的可靠度，其主要目的是希望能夠 建構出一個可準確預測出軟體測試過程中所有失效行為的可靠度模型。因此，本 研究提供了兩個一般化之軟體可靠度模型，其皆假設故障內容函數包含指數型函 數和線性函數兩者之特性，並以非齊次卜瓦松過程為基礎，考量不完美除錯之可 能性，而錯誤偵測率函數則分別假設為一常數和會隨著時間而改變之情形進行探 討。模型建構完成後，即透過三組實際的失效數據進行測試，並利用最小平方估 計法來估計各模型之參數值和評估模型之適配度，最後再與現有模型進行模型評 量準則之比較分析。分析結果顯示，所提出之兩組模型皆較現有模型在預測軟體 失效行為上擁有更加準確的預測能力，即表示軟體可靠度模型中的故障內容函數 若能包含指數型和線性函數之特性時，其在預測軟體失效行為上的預測能力，會 比只擁有單一類型故障內容函數的模型來得準確且有效。
5.2 建議
軟體開發人員在建構一軟體系統時，隨著測試時間的增加，所需花費的測試 與除錯成本也會相對地增加，且除了必須考量該如何提升軟體的可靠度外，也期 望能以最適當的成本來開發該系統。因此，如何在適當的軟體可靠度水準與成本 因素的考量下，找出軟體的最佳停止測試時間點，即進行版本更新或是決定產品 發佈時間等，對軟體開發人員來說是一相當重要的問題。
未來研究建議可建構一個符合軟體系統實際需求的最佳產品更新時機之成本 函數模型，以有效找出軟體可靠度與軟體開發成本之間的平衡點，並作為軟體開
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