基于变形测试和遗传算法的安全保障

Guowei Dong, Shizhong Wu, Guisi Wang, Tao Guo, Yonggang Huang
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引用次数: 12

摘要

关键任务软件的正确性是信息安全的重要组成部分,但oracle问题和测试数据的生成是制约某些程序运行的重要因素。虽然变形测试(MT)对于oracle问题的程序是可行的,而进化测试(ET)是遗传算法自动生成测试数据的一个很好的应用,但进化测试中使用的适应度函数在目标搜索中并不总是有效的。本文提出了在构造适应度函数时考虑变质关系(MR)来提高ET效率的方法,并给出了一些结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security Assurance with Metamorphic Testing and Genetic Algorithm
The correctness of mission-critical software is an important part of information security, but oracle problem and test data generation are constraints for some programs. Although metamorphic testing (MT) is practical for programs with oracle problem and evolutionary testing (ET) is a good application of genetic algorithm (GA) for automatic test data generation, fitness functions used in ET are not always effective at target search. This article provides a method for improving ET’s efficiency by considering metamorphic relation (MR) when fitness function is constructed, and finally some conclusions are presented.
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