{"title":"基于场景的人工智能软件可靠性设计体系结构","authors":"Juguo Wang, Guoqi Li, Y. Pu","doi":"10.1109/CIS.2010.9","DOIUrl":null,"url":null,"abstract":"Artificial Intelligent is well invested both in industry and academic fields. However, the software reliability design for the applications is a big challenge. In this paper, we present a scenario-based architecture for reliability design of artificial intelligent Software. Scenarios are divided into environmental scenarios and structured scenarios. Both of the two kinds of scenarios are considered in the framework. The quantitative reliability of the software based on the framework could be evaluated and predicted.","PeriodicalId":420515,"journal":{"name":"2010 International Conference on Computational Intelligence and Security","volume":"324 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Scenario-Based Architecture for Reliability Design of Artificial Intelligent Software\",\"authors\":\"Juguo Wang, Guoqi Li, Y. Pu\",\"doi\":\"10.1109/CIS.2010.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial Intelligent is well invested both in industry and academic fields. However, the software reliability design for the applications is a big challenge. In this paper, we present a scenario-based architecture for reliability design of artificial intelligent Software. Scenarios are divided into environmental scenarios and structured scenarios. Both of the two kinds of scenarios are considered in the framework. The quantitative reliability of the software based on the framework could be evaluated and predicted.\",\"PeriodicalId\":420515,\"journal\":{\"name\":\"2010 International Conference on Computational Intelligence and Security\",\"volume\":\"324 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Computational Intelligence and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.2010.9\",\"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 International Conference on Computational Intelligence and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2010.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Scenario-Based Architecture for Reliability Design of Artificial Intelligent Software
Artificial Intelligent is well invested both in industry and academic fields. However, the software reliability design for the applications is a big challenge. In this paper, we present a scenario-based architecture for reliability design of artificial intelligent Software. Scenarios are divided into environmental scenarios and structured scenarios. Both of the two kinds of scenarios are considered in the framework. The quantitative reliability of the software based on the framework could be evaluated and predicted.
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