Open AccessResearch on the Application of Adaptive Genetic Algorithm in Software Unit Security Test Simulation
Author(s) -
Xuefeng Ge
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 - 10.1088/1742-6596/2066/1/012010
Subject(s) - computer science , software , software security assurance , unit (ring theory) , genetic algorithm , test (biology) , control unit , process (computing) , reliability engineering , information security , engineering , computer security , operating system , machine learning , mathematics , paleontology , mathematics education , security service , biology
At present, the security test and simulation of software unit mainly focuses on several links, such as software control structure amelioration, software process alternating quantity model control and model inspection tech, and there are still many shortcomings, such as high missed inspection rate, difficult to effectively guarantee the needs of practice, etc. Based on this, this paper first analyses the purpose and principle of software unit security test and simulation, then studies the utilization of ameliorated genetic algorithm in software unit security test simulation, and finally gives the simulation results analysis of software unit security test based on AGA.