Open AccessOptimization Research on Initial Seeds of the Database Management Systems Fuzzing Framework Squirrel
Author(s) -
Manning Song
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2010/1/012069
Subject(s) - fuzz testing , computer science , database , squirrel monkey , biology , programming language , ecology , software
Squirrel is one of the most effective fuzzing frameworks for finding memory errors in database management systems. But its efficiency is affected by initial seeds significantly. In order to improve the fuzzing efficiency of Squirrel, we optimized its initial seeds. The main factors affecting its efficiency are the average grammatical distance and the number of texts of initial seeds. Increasing these two factors at the same time can greatly improve the fuzzing efficiency of Squirrel.