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计算机系统应用英文版:2015,24(4):139-143

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模糊测试中测试用例生成方法

李彤, 黄轩, 黄睿

(装甲兵工程学院信息工程系, 北京 100072)

Test Case Generation Method in Fuzzing

LI Tong, HUANG Xuan, HUANG Rui

(Department of Information Engineering, Academy of Armored Force Engineering, Beijing 100072, China)

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本文已被：浏览 1636次下载 2808次
Received:July 17, 2014 Revised:September 04, 2014

中文摘要: 代码覆盖率一直是影响模糊测(Fuzzing)测试效率的重要因素, 而模糊测试用例则很大程度上影响代码覆盖率, 所以如何构造高效的测试用例就显得非常重要. 将遗传算法应用到测试用例的生成上, 可以实现降低测试用例的冗余度, 还能提高代码的覆盖率. 从而使被测程序在尽量短的时间内得到充分的测试, 提高模糊测试的效率和效果.

中文关键词: 模糊测试测试用例代码覆盖遗传算法

Abstract:Code coverage has been an important factor affecting the efficiency of Fuzzing, but it is largely affected by Fuzzing test cases, so it is very important to construct efficient tests. Applying genetic algorithm into the generation of test cases, it can not only reduce the redundancy of test cases, but also improve code coverage. So that we can fully test the target in less time, and improve the efficiency and effectiveness of Fuzzing test.

keywords: Fuzzing test case code coverage genetic algorithm

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Author Name	Affiliation
LI Tong	Department of Information Engineering, Academy of Armored Force Engineering, Beijing 100072, China
HUANG Xuan	Department of Information Engineering, Academy of Armored Force Engineering, Beijing 100072, China
HUANG Rui	Department of Information Engineering, Academy of Armored Force Engineering, Beijing 100072, China

Author Name	Affiliation
LI Tong	Department of Information Engineering, Academy of Armored Force Engineering, Beijing 100072, China
HUANG Xuan	Department of Information Engineering, Academy of Armored Force Engineering, Beijing 100072, China
HUANG Rui	Department of Information Engineering, Academy of Armored Force Engineering, Beijing 100072, China

引用文本：
李彤,黄轩,黄睿.模糊测试中测试用例生成方法.计算机系统应用,2015,24(4):139-143
LI Tong,HUANG Xuan,HUANG Rui.Test Case Generation Method in Fuzzing.COMPUTER SYSTEMS APPLICATIONS,2015,24(4):139-143