您必須採用系統化程序，才能找出效能問題。如要針對複雜系統的關鍵部分收集洞察資料，就必須使用適當的工具。如要進一步瞭解可用來深入探討系統執行作業的技術，請下載「A Scientific Approach to Performance Analysis」。
成效分析
這個頁面中的內容和程式碼範例均受《內容授權》中的授權所規範。Java 與 OpenJDK 是 Oracle 和/或其關係企業的商標或註冊商標。
上次更新時間：2025-07-27 (世界標準時間)。
[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-07-27 (世界標準時間)。"],[],[],null,["# Performance analysis\n\nPerformance issues require a systematic process to uncover. To gather insights\ninto critical parts of complex systems, the right tools must be used. To learn\nmore about the techniques you can use to delve deeper into the execution of a\nsystem, download [A Scientific Approach to Performance Analysis](/static/docs/automotive/performance-analysis/gapb-2024-aaos-101-day3-performance-analysis-tuning-101-final.pdf)."]]