通用的基于不变量的静态分析工具,用于检测Java程序中的运行时错误

Sotiris Skevoulis, Xiaoping Jia
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引用次数: 5

摘要

本文提出了一种基于不变量的Java程序静态分析通用工具,以检测潜在的错误(bug)。我们简要地讨论了支持的理论框架,并强调了该工具的结果。它可以自动检测潜在的错误,如非法解引用和数组边界,并在程序执行之前报告它们。对于Java类,与所检查的错误类别相关的不变量将自动生成,并用于评估该类实现中变量使用的有效性。该工具为错误检测提供了实用且可扩展的通用机制,以帮助使用面向对象语言(如Java)的行业从业者。所提出的机制能够针对基于流的静态分析工具无法捕获的各种错误类别进行错误检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generic invariant-based static analysis tool for detection of runtime errors in Java programs
The paper presents an invariant-based generic tool to statically analyze Java programs in order to detect potential errors (bugs). We briefly discuss the supporting theoretical framework and highlight the results of the tool. It can automatically detect potential bugs such as illegal dereference and array bounds and report them before the program is executed. For a Java class, invariants related to the category of error under examination are automatically generated and used to assess the validity of variable usage in the implementation of this class. The tool provides a practical and extensible generic mechanism for error detection to help industry practitioners who work with an object oriented language such as Java. The presented mechanism is capable of addressing error detection for a variety of error categories that cannot be caught by flow-based static analysis tools.
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