This tool can be used to analyze (offline) these dumps obtained manually or produced in conjunction with lightweight memory leak detection.
此工具可用于分析(脱机)手动获取或结合使用轻量级内存泄漏检测生成的这些转储。
Figure 1 shows a sample notification generated by the memory leak detection feature.
图1显示了由内存泄漏检测特性所产生的示例通知。
The memory leak detection rule was designed in accordance with a simple philosophy.
内存泄漏检测规则是按照一种简单的理念设计的。
Administrators are able to run lightweight memory leak detection in test and production environments and receive early notification of memory leaks.
管理员能够在测试或生产环境中运行轻量级内存泄漏检测，并可以在早期接收内存泄漏的通知。
Comparative analysis is well suited to be used in conjunction with lightweight memory leak detection.
比较分析非常适合与轻量级内存泄漏检测一起使用。
Our memory leak detection mechanism will generally automate this process of looking for consistently downward trends in free memory after a GC cycle.
我们的内存泄漏检测机制通常会自动执行以下过程：即查找垃圾收集周期之后可用内存不断下降的趋势。
Lightweight memory leak detection is completely configurable and is designed to interact with advanced autonomic managers or custom JMX clients.
可以完全配置轻量级内存泄漏检测，并将其设计为与高级自主管理器或自定义JMX客户机交互。
The first stage is a lightweight memory leak detection mechanism running within the production WebSphere Application Server runtime.
第一阶段是轻量级内存泄漏检测机制，运行于生产WebSphereApplicationServer运行时中。
This lightweight memory leak detection facility is available on all versions of WebSphere Application Server starting with version 6.0, for all platforms.
这一轻量级内存泄漏检测工具可用于从6.0版开始的所有WebSphereApplicationServer版本上，并可用于所有平台。
In Part 2, we describe the memory leak analysis and detection features in WebSphere Application Server V6.1 in greater detail, with some real life case studies.
在第2部分中，我们将更详细地介绍WebSphereApplicationServerV6.1中的内存泄漏分析和检测功能以及一些实际的案例研究。
WebSphere Extended Deployment provides a number of policies that configure memory leak detection.
WebSphereExtendedDeployment提供了许多配置内存泄漏检测的策略。
Error detection example 1: Rational Purify memory error and memory leak reports.
错误检测实例1：RationalPurify内存错误和内存泄露报告。
Lightweight memory leak detection in WebSphere Application Server is designed to provide early detection of memory problems in test and production environments.
WebSphereApplicationServer中的轻量级内存泄漏检测是为了在测试和生产环境中提供内存问题的早期检测而设计的。
By isolating the problem of detection from analysis, we were able to deliver a lightweight production-ready memory leak detection mechanism within WebSphere Application Server V6.0.2.
通过将检测问题与分析问题隔离，我们能够在WebSphereApplicationServer V6.0.2中提供轻量级的可用于生产环境的内存泄漏检测机制。
There are many type of advice provided through this facility, including pool setting advice for ORB and Web pools, session setting advice, memory leak detection or even data source diagnostic advice.
这一工具可以提供多种类型的建议，包括对OR b和we b池的池设置的建议，对会话设置的建议，对内存泄漏的建议，甚至包括对数据源的诊断建议。
There is no use of a coverage tool to measure the code-level code coverage, nor is there use of code quality tools to automate memory leak detection and performance issues.
覆盖工具对于测量代码级别的代码覆盖来说并没有任何用处，代码质量工具对于自动检测内存泄露和执行问题来说也没有任何用处。
Thirdly, the technology of memory leak detection and collection was researched.
第三部分，论述动态内存泄漏检测及回收技术。
The method for detecting the memory leak can realize the partition detection on the memory leak of the embedded system, and is flexible to use and high in detection efficiency.
利用本发明所述的内存泄露检测方法，可实现对嵌入式系统内存泄露的分区检测，方法使用灵活、检测效率较高。
Upon detection of a memory leak pattern, this facility will generate multiple heap dumps that have been coordinated with sufficient memory leakage to facilitate comparative analysis using MDD4J.
在检测到一种内存泄漏方式之后，此工具将产生多重堆转储，它们可以与足够的内存泄漏进行协调，以方便使用MDD4J的对比分析。
Upon detection of a memory leak pattern, this facility will generate multiple heap dumps that have been coordinated with sufficient memory leakage to facilitate comparative analysis using MDD4J.
在检测到一种内存泄漏方式之后，此工具将产生多重堆转储，它们可以与足够的内存泄漏进行协调，以方便使用MDD4J的对比分析。
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