摘要： 针对反模式“细粒度远程调用”提出一种反模式检测模型，根据该检测模型提出基于反模式的J2EE中间件优化模型。在不中断应用系统的前提下，该优化模型能在中间件的辅助下支持在线重构，克服了离线重构模型修改客户端和不能自动重构的缺点。在企业资产管理系统中运用该模型，结果证明其在使系统其他属性不变的情况下，实现了自动在线重构，减少了开发人员的工作量。
关键词:
反模式,
细粒度远程调用,
重构模型
Abstract: This paper proposes an anti-pattern detection model for the anti-pattern “fine grain remote call” and uses this model to introduce an anti-pattern based J2EE middleware optimization model. Without interruption of the application system, this optimization model can support the online refactoring and overcome the disadvantage of the amend of the off-line client and non-automatic refactoring. It is used at Enterprise Assets Management(EAM) system, and the results prove that it realizes automatic online refactoring and reduces the workload of the developers while making other properties remain the same.
Key words:
anti-pattern,
fine grain remote call,
refactoring model
中图分类号:
张轼坤, 冉崇善. 基于反模式的J2EE中间件优化模型[J]. 计算机工程, 2010, 36(10): 256-258.
ZHANG Shi-Kun, DAN Chong-Shan. J2EE Middleware Optimization Model Based on Anti-pattern[J]. Computer Engineering, 2010, 36(10): 256-258.