基于信息论的软件测试性分析方法的改进研究  

Improvement of Software Testability Analysis Method Based on Information Theory

作　　者：白明洋[1] 丁争[1] 

机构地区：[1]中航工业洛阳电光设备研究所,河南洛阳471000

出　　处：《测控技术》2014年第6期111-115,共5页Measurement & Control Technology

摘　　要：随着软件产业的不断发展,软件不断向系统化、集成化发展,软件所实现的功能越来越强大,复杂程度越来越高,最终导致软件质量越来越难以保证。软件测试性分析能够提供软件测试性信息,通过这些信息设计人员能在设计和测试执行之前确定测试的难易程度和所需资源,从而决定是否需要修改设计以得到一个更易测试的软件。以信息论软件测试性分析方法为基础,将程序转化为信息转换图进而利用信息论的方法进行测试性分析,最后引入模糊综合评价的方法对分析结果进行评价,并通过实例对该方法的有效性进行验证。With the continuous development of the software industry,software continues to develop in systematization and integration,the function of software is more and more powerful,and its complexity is higher and higher,that eventually leading to software quality difficult to guarantee increasingly.Software testability analysis can provide software testability information,by which designers can determine the degree of difficulty of the test and the required resources before design and test,and determine whether needs to modify the design to get a more testable software.On the basis of information theory software testability analysis method,the program is converted into information transfer graph,and the testability is analyzed by using the method of information theory.Finally,the fuzzy comprehensive evaluation method is introduced to evaluate the analysis result,and the validity of this method is verified by an example.

关 键 词：软件测试性 测试性分析 信息论 模糊综合评价 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]