Matthias Güdemann, Michael Lipaczewski, F. Ortmeier, Marco Schumann, R. Eschbach
{"title":"迈向可靠性可视化——基于模型的设计与虚拟现实的结合","authors":"Matthias Güdemann, Michael Lipaczewski, F. Ortmeier, Marco Schumann, R. Eschbach","doi":"10.1109/PRDC.2011.55","DOIUrl":null,"url":null,"abstract":"Dependability is often a very abstract concept. The reason is that dependability implications shall be very rare and are often not even wanted to happen during testing. In particular for software-intensive systems, it is very hard to find correct causal relationships/minimal cut sets. Modern model-based approaches help here by computing for example minimal cut sets automatically. However, these methods always rely on a correct model of the environment. In addition, the results are often not traceable or understandable for humans. Therefore, we suggest combining model-based analysis for deriving safety properties with virtual realities for ensuring model validity and trace-ability of results.","PeriodicalId":254760,"journal":{"name":"2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards Making Dependability Visual -- Combining Model-Based Design and Virtual Realities\",\"authors\":\"Matthias Güdemann, Michael Lipaczewski, F. Ortmeier, Marco Schumann, R. Eschbach\",\"doi\":\"10.1109/PRDC.2011.55\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dependability is often a very abstract concept. The reason is that dependability implications shall be very rare and are often not even wanted to happen during testing. In particular for software-intensive systems, it is very hard to find correct causal relationships/minimal cut sets. Modern model-based approaches help here by computing for example minimal cut sets automatically. However, these methods always rely on a correct model of the environment. In addition, the results are often not traceable or understandable for humans. Therefore, we suggest combining model-based analysis for deriving safety properties with virtual realities for ensuring model validity and trace-ability of results.\",\"PeriodicalId\":254760,\"journal\":{\"name\":\"2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PRDC.2011.55\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRDC.2011.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Making Dependability Visual -- Combining Model-Based Design and Virtual Realities
Dependability is often a very abstract concept. The reason is that dependability implications shall be very rare and are often not even wanted to happen during testing. In particular for software-intensive systems, it is very hard to find correct causal relationships/minimal cut sets. Modern model-based approaches help here by computing for example minimal cut sets automatically. However, these methods always rely on a correct model of the environment. In addition, the results are often not traceable or understandable for humans. Therefore, we suggest combining model-based analysis for deriving safety properties with virtual realities for ensuring model validity and trace-ability of results.