Improving the Cooperation of Fuzzing and Symbolic Execution by Test-cases Prioritizing
Jiaxi Ye, Bin Zhang, Ziqing Ye, Chao Feng, Chaojing Tang
Abstract
Jiaxi Ye, Bin Zhang, Ziqing Ye, Chao Feng, Chaojing Tang
Abstract
Nowadays much attention is paid to the threat of vulnerabilities on the software security. Fuzzing and symbolic execution, complementary to each other, are two effective techniques in software testing. In this paper, we develop the prototype called FAS(Fuzzing and Symbolic) for software testing under both fuzzing and symbolic execution. In our method, the test cases are prioritized through deep-oriented strategy and large-distance-first strategy, in order to get a higher path-coverage with the condition of limited resource.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Nowadays much attention is paid to the threat of vulnerabilities on the software security. Fuzzing and symbolic execution, complementary to each other, are two effective techniques in software testing. In this paper, we develop the prototype called FAS(Fuzzing and Symbolic) for software testing under both fuzzing and symbolic execution. In our method, the test cases are prioritized through deep-oriented strategy and large-distance-first strategy, in order to get a higher path-coverage with the condition of limited resource.
Key concepts: Fuzz testing, Symbolic execution, Computer science, Concolic testing, Software testing, Software bug, Code coverage, Test case