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An improved genetic approach for test path generation

机译:用于测试路径生成的改进的遗传方法

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摘要

Quality of a software system depends on testing approaches adopted to analyze the software product. Testing process itself depends on two main vectors called test sequence generation and test data generation. Test sequence generation is about to identify the order in which the particular test cases will be executed and the test data defines the various checks performed on each test case. In this present work, a fuzzy improved genetic approach is suggested for test case generation. The sequence on these test cases is here dependent on module interaction analysis. Based on this analysis, the test case prioritization will be defined. Once the test cases will be prioritized, the next work is to apply fuzzy improved genetic approach for test path generation. The work is analyzed under different prioritization vectors. Analysis of work is defined in terms of test cost estimation under different prioritization scenarios.
机译:软件系统的质量取决于用来分析软件产品的测试方法。测试过程本身取决于两个主要向量,分别称为测试序列生成和测试数据生成。测试序列的生成将确定执行特定测试用例的顺序,并且测试数据定义对每个测试用例执行的各种检查。在本工作中,提出了一种模糊改进的遗传方法用于测试用例的生成。这些测试用例的顺序在这里取决于模块交互分析。基于此分析,将定义测试用例的优先级。一旦确定了测试用例的优先级,接下来的工作就是将模糊改进的遗传方法应用于测试路径的生成。在不同的优先级向量下分析工作。根据不同优先级场景下的测试成本估算来定义工作分析。

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