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Software Reliability Testing Data Generation Approach Based on a Mixture Model

机译:基于混合模型的软件可靠性测试数据生成方法

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摘要

To solve the problem about software reliability testing cases and testing data generation of real-time control systems, this study applies the reliability testing cases generation approach based on the mixture of operation profile and Markov chain which describes software operation profile by the use cases of UML, establishes the use model based on UML model for automatically deriving the testing model from the use model, generates a reliability testing case set based on the testing model and generates testing input data of reliability testing semi-automatically by eliciting input and output variables and abstracting testing input and output classes. The results of reliability testing on the actual airborne software show that the framework of the test case set generated by the proposed model is fairly stable. Thus, the proposed approach is suitable for generating reliability testing data of the real-time control system software semi-automatically, greatly simplifies the reliability testing process, improves testing efficiency and ensures testing validity.
机译:为了解决实时控制系统的软件可靠性测试用例和测试数据生成问题,本研究采用了基于操作概要和马尔可夫链的混合的可靠性测试用例生成方法,该方法通过UML用例描述了软件操作概要。 ,建立基于UML模型的使用模型,以自动从使用模型中推导测试模型,基于测试模型生成可靠性测试用例集,并通过抽取输入和输出变量并抽象化半自动生成可靠性测试的测试输入数据测试输入和输出类。在实际机载软件上进行可靠性测试的结果表明,所提出的模型生成的测试用例集的框架相当稳定。因此,该方法适用于半自动生成实时控制系统软件的可靠性测试数据,大大简化了可靠性测试过程,提高了测试效率,确保了测试的有效性。

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