{"title":"基于用户行为的设备软件故障检测","authors":"Lanlan Rui, Shaoyong Guo, Luoming Meng, Ting Wu","doi":"10.1109/ICCET.2010.5485543","DOIUrl":null,"url":null,"abstract":"The paper focuses on the Pre-Detection for device fault to ensure the reliability of the devices. A User-Behavior based software fault detection method was proposed, which imports User-Behavior analysis to select the high priority service set for Pre-Detection of the device software fault. The method is user oriented and could improve the efficiency of detection. The architecture and flow for the User-Behavior based software fault detection were introduced. In addition, the User-Behavior Analysis model and the User-Behavior Set-Selection model to reflect the dependence degree of the user to each service were given. At last, the method was validated by simulation and proved to be valid by comparing with other Pre-Detection methods.","PeriodicalId":271757,"journal":{"name":"2010 2nd International Conference on Computer Engineering and Technology","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"User-behavior based software fault detection for device\",\"authors\":\"Lanlan Rui, Shaoyong Guo, Luoming Meng, Ting Wu\",\"doi\":\"10.1109/ICCET.2010.5485543\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper focuses on the Pre-Detection for device fault to ensure the reliability of the devices. A User-Behavior based software fault detection method was proposed, which imports User-Behavior analysis to select the high priority service set for Pre-Detection of the device software fault. The method is user oriented and could improve the efficiency of detection. The architecture and flow for the User-Behavior based software fault detection were introduced. In addition, the User-Behavior Analysis model and the User-Behavior Set-Selection model to reflect the dependence degree of the user to each service were given. At last, the method was validated by simulation and proved to be valid by comparing with other Pre-Detection methods.\",\"PeriodicalId\":271757,\"journal\":{\"name\":\"2010 2nd International Conference on Computer Engineering and Technology\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Computer Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCET.2010.5485543\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Computer Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCET.2010.5485543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
User-behavior based software fault detection for device
The paper focuses on the Pre-Detection for device fault to ensure the reliability of the devices. A User-Behavior based software fault detection method was proposed, which imports User-Behavior analysis to select the high priority service set for Pre-Detection of the device software fault. The method is user oriented and could improve the efficiency of detection. The architecture and flow for the User-Behavior based software fault detection were introduced. In addition, the User-Behavior Analysis model and the User-Behavior Set-Selection model to reflect the dependence degree of the user to each service were given. At last, the method was validated by simulation and proved to be valid by comparing with other Pre-Detection methods.
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