{"title":"一种改进的fsm系统被动测试方法","authors":"H. Ural, Zhi Xu, Fan Zhang","doi":"10.1109/AST.2007.1","DOIUrl":null,"url":null,"abstract":"Fault detection is a fundamental part of passive testing which determines whether a system under test (SUT) is faulty by observing the input/output behavior of the SUT without interfering its normal operations. In this paper, we propose a new approach to finite state machine (FSM)-based passive fault detection which improves the performance of the approach in [4] and gathers more information during testing compared with the approach in [4]. The results of theoretical and experimental evaluations are reported.","PeriodicalId":211341,"journal":{"name":"Second International Workshop on Automation of Software Test (AST '07)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2007-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"An Improved Approach to Passive Testing of FSM-based Systems\",\"authors\":\"H. Ural, Zhi Xu, Fan Zhang\",\"doi\":\"10.1109/AST.2007.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fault detection is a fundamental part of passive testing which determines whether a system under test (SUT) is faulty by observing the input/output behavior of the SUT without interfering its normal operations. In this paper, we propose a new approach to finite state machine (FSM)-based passive fault detection which improves the performance of the approach in [4] and gathers more information during testing compared with the approach in [4]. The results of theoretical and experimental evaluations are reported.\",\"PeriodicalId\":211341,\"journal\":{\"name\":\"Second International Workshop on Automation of Software Test (AST '07)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Second International Workshop on Automation of Software Test (AST '07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AST.2007.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Second International Workshop on Automation of Software Test (AST '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AST.2007.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved Approach to Passive Testing of FSM-based Systems
Fault detection is a fundamental part of passive testing which determines whether a system under test (SUT) is faulty by observing the input/output behavior of the SUT without interfering its normal operations. In this paper, we propose a new approach to finite state machine (FSM)-based passive fault detection which improves the performance of the approach in [4] and gathers more information during testing compared with the approach in [4]. The results of theoretical and experimental evaluations are reported.