METHOD AND APPARATUS FOR ANALYZING SAFETY OF AUTOMOTIVE SOFTWARE

摘要

According to the present invention, provided is a method for analyzing safety of automotive software in a computer, capable of providing correctness and safety based on a machine-learning or deep-learning technology. The method comprises the following steps: receiving input of automotive software; dividing the automotive software into one or more code modules; using an analysis machine to measure risk metric data values corresponding to each piece of risk metric data with respect to each code module, wherein the analysis module is a learning machine previously learned and trained by a plurality of risk metric data sets relating to safety of vehicle functions; using the analysis module to determine a value representing risk presence with respect to each code module based on the risk metric data values; using the analysis module to determine a value representing the risk presence with respect to each code module based on one or more of the measured risk metric data values; and using the value representing the risk presence determined to each code module to make a report about safety of the automotive software.