{"title":"Dependability Analysis and Verification Technology of Artificial Intelligence Software","authors":"Yaming Zhang, Lijin Wu, Xiaomei Shen, Zehua Shen, Tongli Tang","doi":"10.1109/QRS-C57518.2022.00041","DOIUrl":null,"url":null,"abstract":"This paper focuses on the dependability analysis and verification technology of artificial intelligence software. Aiming at the dependability problems caused by the uncontrollable algorithm output of artificial intelligence software, misguided learning models and unpredictable software defects, as well as the current intelligent software testing and verification requirements, this paper analyzes the connotation and characteristics of artificial intelligence software dependability, and studies artificial intelligence software dependability mechanism and defect mode analysis method, break through artificial intelligence software dependability verification technology, innovatively build artificial intelligence software dependability index system, and finally form a comprehensive evaluation method for software dependability.","PeriodicalId":183728,"journal":{"name":"2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QRS-C57518.2022.00041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
This paper focuses on the dependability analysis and verification technology of artificial intelligence software. Aiming at the dependability problems caused by the uncontrollable algorithm output of artificial intelligence software, misguided learning models and unpredictable software defects, as well as the current intelligent software testing and verification requirements, this paper analyzes the connotation and characteristics of artificial intelligence software dependability, and studies artificial intelligence software dependability mechanism and defect mode analysis method, break through artificial intelligence software dependability verification technology, innovatively build artificial intelligence software dependability index system, and finally form a comprehensive evaluation method for software dependability.
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