現今的物件導向資料庫績效評估存在著許多的缺失。1.針對特定的應用領域，其測試工作量模型並無法代表使用者的需求。2.針對特定的資料模型，主要在衡量資料庫設計之技巧及效能。3.測試資料庫綱目變得複雜，測試運算變得繁多，使用者欲自行建立績效評估十分不容易。為了解決以上的問題，本研究擬使用物件導向系統分析的方法作為使用者建構工作量模型的工具，經過一、工作量需求分析階段。二、工作量規則描述階段。三、績效評估的測試階段。最後發展出一個用以測試物件導向資料庫的績效評估環境。由於測試之資料庫綱目與測試運算均是從使用者之需求著手，將使得測試之工作量對使用者而言，更具一致性、代表性與正確性，測試所得之數據與使用者更具相關性。另一方面，為了驗證所提出理論的可行性，我們發展了工作量模型產生器之雛型系統，使用者只須使用視覺化的圖形符號來編輯其工作量模型，系統即會產生工作量模型之規格描述，作為建構績效評估系統之進一步應用。在物件導向資料庫的應用範圍愈來愈廣泛、資料庫之資料量日益龐大的未來，以使用者需求為導向之績效評估將會是未來績效評估之發展方向。

Existing object-oriented database benchmarks have the following drawbacks 1.They are designed to apply to specific domains, so the workload models of theirs are unable to fully represent user requirements 2.They are designed to apply to the specific data model, and their main intentions are to measure the techniques and therefore performance of database design. 3.As the database schemes are more complex and test operations are more myriad, it will be harder and harder for users intending to implement the benchmark according to the benchmark specification. In order to resolve the above problems, this thesis tries to model user's workload with system analysis methods. After 1.workload requirement analysis phase. 2.workload requirement specification phase 3.benchmark experiment phase, we will develop a benchmark application program used to benchmark the OODBMS. Because our benchmark database schemes and operations are derived from the user requirements, the workload will be more consistent, more representative and more accurate and the result will be more meaningful to users. In order to validate the theory we propose, we develop a prototype of the workload generator. After users have finished editing their workload model with visual graphic notations, the system will output workload specifications, which will be used in the later phase. As the application domain of OODBMS are more diverse and database are more huge, the trend of benchmarks is toward user requirement driven in the future.