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Study on Test Case Automated Generation Technology Based on Genetic Algorithm and Ant Colony Optimization Algorithm

机译:基于遗传算法和蚁群优化算法的基于遗传算法的试验壳体自动化生成技术研究

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摘要

The enhancement of software quality and reliability has become an important task in the field of software engineering.Software testing is an important step that guarantees software quality and reliability and also an energy-consuming and time-consuming task. Therefore, improving the automation ability of software testing is very important for ensuring software's quality and reducing development cost.This paper designs a new Net-Path-Model, introduces the Genetic Algorithm and Ant Colony Optimization test cases Generating theory with the Model. The paper also realizes the theory for Path-cover Test Cases Generating based on ProGrammar in VC++6.0.
机译:软件质量和可靠性的增强已成为软件工程领域的重要任务。软件测试是保证软件质量和可靠性以及能耗和耗时的任务的重要一步。因此,提高软件测试的自动化能力对于确保软件的质量和降低开发成本非常重要。本文设计了一种新的净路径模型,介绍了与模型产生理论的遗传算法和蚁群优化测试用例。本文还实现了基于VC ++ 6.0中的Programmar生成的路径覆盖测试用例理论。

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