Affiliations: College of Science and Teachnology, Agricultural University of Hebei, Huanghua Hebei, China
Correspondence:
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Corresponding author. Tingting Sun, College of Science and Teachnology, Agricultural University of Hebei, Huanghua Hebei, China. E-mail: [email protected].
Abstract: 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.
Keywords: Fuzzy mathematics, fuzzy evaluation, software quality, test quality
