{"title":"Study on Reliability Measurement Model of Aerospace Embedded Software","authors":"Wu Yu, Yin Ming, Ma Huai-yu","doi":"10.1109/ICAIIS49377.2020.9194830","DOIUrl":null,"url":null,"abstract":"Aerospace embedded software is very complex, large-scale and highly reliable, so it is very important to measure the reliability of aerospace embedded software. Based on the analysis of the characteristics of aerospace embedded software, the reliability evaluation of aerospace embedded software based on the Delayed S-Shaped model is carried out. The data set similar to the characteristics of aerospace embedded software is selected to verify the predictive ability of the model. The experimental results show that the aerospace embedded software reliability measurement model can obtain a good fitting effect.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIIS49377.2020.9194830","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aerospace embedded software is very complex, large-scale and highly reliable, so it is very important to measure the reliability of aerospace embedded software. Based on the analysis of the characteristics of aerospace embedded software, the reliability evaluation of aerospace embedded software based on the Delayed S-Shaped model is carried out. The data set similar to the characteristics of aerospace embedded software is selected to verify the predictive ability of the model. The experimental results show that the aerospace embedded software reliability measurement model can obtain a good fitting effect.
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