Research on the Defects of Embedded Real Time System Based on Transfer Learning
To reduce the impact of environment changes on software defect assessment,a software defect assessment method for embedded real-time control system based on transfer learning is proposed.Firstly,the defect software measurement metrics are selected.On this basis,the relevant index features are divided into the same cluster using feature clustering technology.Then,according to the distribution similarity of features between the two items,the relevant features are found,and the features with significant distribution differences are removed.Finally,high-quality features are selected from the source project to construct training dataset,and better evaluation data is selected from the source items through weight adjustment to achieve accurate evaluation of software defects.The mapping results have clear objectives,and the error rate of the evaluation results of the design method is within 8.7%,which indicates that the evaluation effect is good.
transfer learningembedded real-time control systemdefect assessmentmeasure-ment indexclustering technologydistribution similarity
万方数据
维普
