{"title":"基于可信证据的可信软件度量模型","authors":"Yan Li, Yixiang Chen","doi":"10.1109/ISSSR.2016.013","DOIUrl":null,"url":null,"abstract":"Software trustworthiness is an important area of software reliability. How to measure it is a challenging. This paper aims at developing a new measurement model of software trustworthiness. For this propose, we first define the trusted evidence as a program unit or element which causes the untrustworthy. Then, we classify them and propose a measurement model to measure the degree of software trustworthiness. Finally, a case study is given to show the validity of the proposed model.","PeriodicalId":257409,"journal":{"name":"2016 International Symposium on System and Software Reliability (ISSSR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Measurement Model for Trustworthy Software Based on Trusted Evidences\",\"authors\":\"Yan Li, Yixiang Chen\",\"doi\":\"10.1109/ISSSR.2016.013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software trustworthiness is an important area of software reliability. How to measure it is a challenging. This paper aims at developing a new measurement model of software trustworthiness. For this propose, we first define the trusted evidence as a program unit or element which causes the untrustworthy. Then, we classify them and propose a measurement model to measure the degree of software trustworthiness. Finally, a case study is given to show the validity of the proposed model.\",\"PeriodicalId\":257409,\"journal\":{\"name\":\"2016 International Symposium on System and Software Reliability (ISSSR)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Symposium on System and Software Reliability (ISSSR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSSR.2016.013\",\"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 International Symposium on System and Software Reliability (ISSSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSSR.2016.013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Measurement Model for Trustworthy Software Based on Trusted Evidences
Software trustworthiness is an important area of software reliability. How to measure it is a challenging. This paper aims at developing a new measurement model of software trustworthiness. For this propose, we first define the trusted evidence as a program unit or element which causes the untrustworthy. Then, we classify them and propose a measurement model to measure the degree of software trustworthiness. Finally, a case study is given to show the validity of the proposed model.
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