{"title":"基于BP神经网络的软件可靠性评估技术研究","authors":"Lu Liu, Zhengtao Jiang","doi":"10.1109/ICIS.2016.7550924","DOIUrl":null,"url":null,"abstract":"This paper introduces the BP neural network briefly, discusses the application of BP neural network algorithm in evaluating the reliability of software, constructs the evaluation index system of software reliability based on the neural network, and finally implements the software reliability evaluation system. This system takes the scores of influence factors of software reliability as input which are marked by user, and then output the evaluation result of software reliability computed by the trained neural network.","PeriodicalId":336322,"journal":{"name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Research on software reliability evaluation technology based on BP neural network\",\"authors\":\"Lu Liu, Zhengtao Jiang\",\"doi\":\"10.1109/ICIS.2016.7550924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces the BP neural network briefly, discusses the application of BP neural network algorithm in evaluating the reliability of software, constructs the evaluation index system of software reliability based on the neural network, and finally implements the software reliability evaluation system. This system takes the scores of influence factors of software reliability as input which are marked by user, and then output the evaluation result of software reliability computed by the trained neural network.\",\"PeriodicalId\":336322,\"journal\":{\"name\":\"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIS.2016.7550924\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2016.7550924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on software reliability evaluation technology based on BP neural network
This paper introduces the BP neural network briefly, discusses the application of BP neural network algorithm in evaluating the reliability of software, constructs the evaluation index system of software reliability based on the neural network, and finally implements the software reliability evaluation system. This system takes the scores of influence factors of software reliability as input which are marked by user, and then output the evaluation result of software reliability computed by the trained neural network.