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基于遗传算法的数据流测试用例自适应生成算法

许力, 陈江勇

(福建师范大学网络安全与密码技术重点实验室, 福州 350007)

Data Flow Test-Cases Adaptive Generation Algorithm Based on Genetic Algorithm

XU Li, CHEN Jiang-Yong

(Fujian Normal University, Key Lab of Network Security and Cryptology, Fuzhou 350007, China)

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本文已被：浏览 1874次下载 3648次
Received:December 11, 2012 Revised:January 29, 2013

中文摘要: 测试用例的设计是软件测试实施的首要环节, 对后期测试工作具有重要的指导作用, 也是提高质量软件的根本保证. 针对Moheb R. Girgis算法的不足, 通过引入分支函数和改进遗传算法中的自适应性, 提出一种改进的数据流测试用例的自动生成算法, 实验表明, 改进算法在收敛速度和覆盖率等关键性能上都有较明显提高.

中文关键词: 遗传算法数据流测试用例自动化测试

Abstract:The design of test-cases is one of the most important parts of software testing, which play an important role in guiding the post-testing and also is the fundamental guarantee of quality software. For the shortcoming of method raised by Moheb R. Girgis, an improved genetic algorithm for the automatic generation of data flow test-cases was proposed by introducing the branch functions and adaptive genetic strategies. Experiments show that the improved algorithm has a more increase in the performance of convergence rate and coverage rate.

keywords: genetic algorithms data-flow test-cases automated testing

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基金项目:福建省高校产学合作科技重大项目(2011H6008);福建省自然科学基金(2011J5148)

Author Name	Affiliation
XU Li	Fujian Normal University, Key Lab of Network Security and Cryptology, Fuzhou 350007, China
CHEN Jiang-Yong	Fujian Normal University, Key Lab of Network Security and Cryptology, Fuzhou 350007, China

Author Name	Affiliation
XU Li	Fujian Normal University, Key Lab of Network Security and Cryptology, Fuzhou 350007, China
CHEN Jiang-Yong	Fujian Normal University, Key Lab of Network Security and Cryptology, Fuzhou 350007, China

引用文本：
许力,陈江勇.基于遗传算法的数据流测试用例自适应生成算法.计算机系统应用,2013,22(7):90-94
XU Li,CHEN Jiang-Yong.Data Flow Test-Cases Adaptive Generation Algorithm Based on Genetic Algorithm.COMPUTER SYSTEMS APPLICATIONS,2013,22(7):90-94