基于遗传算法的黑箱测试用例自动生成模型  

Black-box Test Cases Auto-generating Model Based on Genetic Algorithm

作　　者：潘祖烈[1] 孙乐昌[1] 蔡铭[1] 陈建熊[1] 

机构地区：[1]解放军电子工程学院网络工程系,合肥230037

出　　处：《计算机工程》2008年第9期205-207,210,共4页Computer Engineering

摘　　要：介绍基于遗传算法的测试用例自动生成技术,研究了利用动态调试技术和静态反汇编技术计算遗传算法中适应度函数的方法,设计了基于遗传算法的黑箱测试用例自动生成模型。该模型可直接对可执行文件自动生成测试用例,避免对程序进行源代码插装,降低对程序源代码的要求,扩展了基于遗传算法的测试用例自动生成技术的应用范围。The technology of test cases auto-generating based on Genetic Algorithm（GA）, software dynamic debugging and static disassembling is introduced. The method for calculating fimess function in GA using dynamic debugging technology is researched. The model for black-box test cases auto-generating based on GA is proposed and designed, by which test cases can be auto-generated according to the executable files without instrumentation for software source code and the application area of test cases auto-generating technology based on GA is extended.

关 键 词：黑箱测试 遗传算法 测试例 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]