The thesis starts with the connotation and attributes of software testing quality, introduces software testing quality evaluation methods, and analyzes and discusses software testing quality evaluation models based on fuzzy mathematics theory. Focusing on the key technical problems of software testing quality, discuss the key technologies to solve the software testing quality evaluation model establishment. Through the use of fuzzy models, the cost of software testing quality evaluation is effectively reduced, and the reliability of software testing quality evaluation methods is improved. This model can quickly evaluate the quality of software testing, can avoid the occurrence of local maxima, overcome the shortcomings of existing evaluation models and tools, and can correctly reflect the relationship between the internal and external properties of the software. Using the new software testing quality evaluation method, comparing the evaluation models and tools used before, summarizing the methods of software testing quality improvement. The application of these methods effectively improves the software testing quality.

中文翻译：

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基于模糊数学的软件测试质量评估

本文从软件测试质量的内涵和属性入手，介绍了软件测试质量评估方法，并基于模糊数学理论对软件测试质量评估模型进行了分析和讨论。针对软件测试质量的关键技术问题，探讨解决软件测试质量评估模型建立的关键技术。通过使用模糊模型，有效降低了软件测试质量评估的成本，提高了软件测试质量评估方法的可靠性。该模型可以快速评估软件测试的质量，可以避免出现局部最大值，克服了现有评估模型和工具的缺点，并且可以正确反映软件内部和外部属性之间的关系。使用新的软件测试质量评估方法，比较以前使用的评估模型和工具，总结了软件测试质量改进的方法。这些方法的应用有效地提高了软件测试质量。