基于ID3决策树在Android系统异常恢复中的研究与应用  

Research and Application in Android System Exception Recovery Based on ID3 Decision Tree

作　　者：解正梅 苏永辉 XIE Zhengmei;SU Yonghui(Department of Information Engineering,Guangzhou Songtian Polytechnic College,Guangzhou 510700,China;Department of Electronics,Software Engineering Institute of Guangzhou,Guangzhou 510900,China)

机构地区：[1]广州松田职业学院,信息工程学院,广东广州510700 [2]广州软件学院,电子系,广东广州510900

出　　处：《微型电脑应用》2024年第12期285-287,316,共4页Microcomputer Applications

摘　　要：提出一种基于ID3决策树的Android系统异常智能恢复方法。选取市场及测试中发现的典型系统异常问题作为样本,结合专家诊断结果,训练出合适的决策树。当发生异常时,系统将分析异常堆栈信息,提取有效关键字,匹配系统中的决策树,根据匹配情况进行相应的处理。实例验证,该方案可有效地恢复系统异常。An intelligent Android system exception recovery method based on the ID3 decision tree is proposed.This paper trains an appropriate decision tree according to the typical system exception issues found in the market or testing and expert diagnosis result.When an error happens,the intelligent recovery system analyzes the exceptional stack information,extracts the keyword and matches the decision tree in the system.The system makes the corresponding treatment according to the matching situation.Experiment results show that the method can effectively recovery the system exception.

关 键 词：ANDROID 决策树 ID3算法 钩子函数 智能恢复 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]