工业C/ c++软件缺陷自动检测

V. Itsykson, M. Moiseev, V. Tsesko, A. Zakharov
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引用次数: 4

摘要

本文研究了工业软件缺陷自动检测问题的解决方法。给出了用现有工具进行实验的结果。这些结果表明所实施的分析效率不足。涵盖了现有的源代码静态分析方法和缺陷检测算法。在现有方法的基础上,提出了程序模型和分析算法。探讨了不同分析算法的协同执行问题。提出了提高分析精度和算法性能的途径。所开发的方法的优点是:解决方案的可靠性、完全支持目标编程语言的特性以及使用注释机制对缺乏完整源代码的程序进行分析。本文提出的算法在缺陷自动检测工具中得到了实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic defects detection in industrial C/C++ software
The solution to the problem of automatic defects detection in industrial software is covered in this paper. The results of the experiments with the existing tools are presented. These results stand for inadequate efficiency of the implemented analysis. Existing source code static analysis methods and defects detection algorithms are covered. The program model and the analysis algorithms based on existing approaches are proposed. The problems of co-execution of different analysis algorithms are explored. The ways for improvement of analysis precision and algorithms performance are proposed. Advantages of the approaches developed are: soundness of a solution, full support of the features of target programming languages and analysis of the programs lacking full source code using annotations mechanism. The algorithms proposed in the paper are implemented in the automatic defects detection tool.
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