{"title":"软件模型的自动验证","authors":"Steve Sims, R. Cleaveland, K. Butts, S. Ranville","doi":"10.1109/ASE.2001.989794","DOIUrl":null,"url":null,"abstract":"The paper describes the application of an automated verification tool to a software model developed at Ford Motor Company. Ford already has in place an advanced model-based software development framework that employs the Matlab(R), Simulink(R), and Stateflow(R) modeling tools. During this project, we applied the invariant checker Salsa to a Simulink(R)/Stateflow(R) model of automotive software to check for nondeterminism, missing cases, dead code, and redundant code. During the analysis, a number of anomalies were detected that had not been found during manual review. We argue that the detection and correction of these problems demonstrates a cost-effective application of formal verification that elevates our level of confidence in the model.","PeriodicalId":433615,"journal":{"name":"Proceedings 16th Annual International Conference on Automated Software Engineering (ASE 2001)","volume":"336 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"Automated validation of software models\",\"authors\":\"Steve Sims, R. Cleaveland, K. Butts, S. Ranville\",\"doi\":\"10.1109/ASE.2001.989794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes the application of an automated verification tool to a software model developed at Ford Motor Company. Ford already has in place an advanced model-based software development framework that employs the Matlab(R), Simulink(R), and Stateflow(R) modeling tools. During this project, we applied the invariant checker Salsa to a Simulink(R)/Stateflow(R) model of automotive software to check for nondeterminism, missing cases, dead code, and redundant code. During the analysis, a number of anomalies were detected that had not been found during manual review. We argue that the detection and correction of these problems demonstrates a cost-effective application of formal verification that elevates our level of confidence in the model.\",\"PeriodicalId\":433615,\"journal\":{\"name\":\"Proceedings 16th Annual International Conference on Automated Software Engineering (ASE 2001)\",\"volume\":\"336 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 16th Annual International Conference on Automated Software Engineering (ASE 2001)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASE.2001.989794\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 16th Annual International Conference on Automated Software Engineering (ASE 2001)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASE.2001.989794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper describes the application of an automated verification tool to a software model developed at Ford Motor Company. Ford already has in place an advanced model-based software development framework that employs the Matlab(R), Simulink(R), and Stateflow(R) modeling tools. During this project, we applied the invariant checker Salsa to a Simulink(R)/Stateflow(R) model of automotive software to check for nondeterminism, missing cases, dead code, and redundant code. During the analysis, a number of anomalies were detected that had not been found during manual review. We argue that the detection and correction of these problems demonstrates a cost-effective application of formal verification that elevates our level of confidence in the model.