ISCAS OpenIR  > 总体部
迭代循环深度引导的灰盒测试优化技术研究
谢异
Major计算机软件与理论
Supervisor马恒太
2022-05
Degree Grantor中国科学院研究生院
Degree Level硕士
Place of Degree Grantor北京
Content Type学位论文
URIhttp://ir.iscas.ac.cn/handle/311060/19494
Collection总体部
Recommended Citation
GB/T 7714
谢异. 迭代循环深度引导的灰盒测试优化技术研究[D]. 北京. 中国科学院研究生院,2022.
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谢异-迭代循环深度引导的灰盒测试优化技术(1852KB)学位论文 开放获取CC BY-NC-SAApplication Full Text
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