SAFFRON: Adaptive grammar-based fuzzing for worst-case analysis

Fuzz testing has been gaining ground recently with substantial efforts devoted to the area. Typically, fuzzers take a set of seed inputs and leverage random mutations to continually improve the inputs with respect to a cost, e.g. program code coverage, to discover vulnerabilities or bugs. Following...

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Bibliographic Details
Main Authors: LE, Xuan Bach D., PASAREANU, Corina, PADHYE, Rohan, LO, David, VISSER, Willem, SEN, Koushik
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/4820
https://ink.library.smu.edu.sg/context/sis_research/article/5823/viewcontent/ASE19_GrammarbasedFuzzing3.pdf
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Institution: Singapore Management University
Language: English
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