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Memory leak detection in Plumbr

机译:Plumbr中的内存泄漏检测

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摘要

Platforms with automatic memory management, such as the JVM, are usually considered free of memory leaks. However, memory leaks can happen in such environments, as the garbage collector cannot free objects, which are not used by the application anymore, but are still referenced. Such unused objects can eventually fill up the heap and crash the application. Although this problem has been studied extensively, nevertheless, there are still many rooms for improvement in this area. This paper describes the statistical approach for memory leak detection, as an alternative, along with a commercial tool, Plumbr, which is based on the method. The tool is later analyzed with three case studies of real applications and in the process also analyzes strengths and weaknesses of the statistical approach for memory leak detection. Copyright (c) 2014 John Wiley & Sons, Ltd.
机译:具有自动内存管理功能的平台(例如JVM)通常被认为没有内存泄漏。但是,在此类环境中可能会发生内存泄漏,因为垃圾回收器无法释放对象,这些对象不再被应用程序使用,而是仍被引用。这些未使用的对象最终可能会填满堆并使应用程序崩溃。尽管已经对该问题进行了广泛的研究,但是在该领域仍有许多改进的余地。本文介绍了用于内存泄漏检测的统计方法(作为替代方法)以及基于该方法的商用工具Plumbr。该工具随后通过实际应用的三个案例研究进行了分析,并且在此过程中还分析了用于内存泄漏检测的统计方法的优缺点。版权所有(c)2014 John Wiley&Sons,Ltd.

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