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2016•Unpublished venueOpen access

A test data generation method based on the symbolic execution of the dangerous path

Yongdang Meng

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Abstract

In this paper, the traditional high fuzzing blindness, code coverage is low, low efficiency and other shortcomings of the test case generation process a study by introducing symbolic execution techniques proposed test case generation method based on symbolic execution of the dangerous path, the method focuses on the dangerous path to the target program, the program generates the corresponding test cases dangerous path, effectively improve the efficiency and relevance of test case generation.

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What this paper is about

In this paper, the traditional high fuzzing blindness, code coverage is low, low efficiency and other shortcomings of the test case generation process a study by introducing symbolic execution techniques proposed test case generation method based on symbolic execution of the dangerous path, the method focuses on the dangerous path to the target program, the program generates the corresponding test cases dangerous path, effectively improve the efficiency and relevance of test case generation.

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Available abstract

In this paper, the traditional high fuzzing blindness, code coverage is low, low efficiency and other shortcomings of the test case generation process a study by introducing symbolic execution techniques proposed test case generation method based on symbolic execution of the dangerous path, the method focuses on the dangerous path to the target program, the program generates the corresponding test cases dangerous path, effectively improve the efficiency and relevance of test case generation.

Key concepts: Symbolic execution, Fuzz testing, Computer science, Concolic testing, Path (computing), Test (biology), Relevance (law), Process (computing)

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