Renya He, Longli Tang, Xinyu Han, W. He, Zehui Zhao
{"title":"基于特征参数的软件构件可靠性评估方法","authors":"Renya He, Longli Tang, Xinyu Han, W. He, Zehui Zhao","doi":"10.1109/QRS-C.2018.00051","DOIUrl":null,"url":null,"abstract":"This paper presents a software component reliability evaluation method based on the characteristic parameters which are obtained in software development process. These characteristic parameters depend on the properties, purpose and development process characteristics of the software. They are divided into two categories: inherent characteristics and development process characteristics. According to the data collected in our warship component software testing practice, we can gradually optimize the parameters of the prediction model of the ROME laboratory, and then find out the factors which affect the structural reliability. This method can be widely used in evaluating software component reliability.","PeriodicalId":199384,"journal":{"name":"2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Software Component Reliability Evaluation Method Based on Characteristic Parameters\",\"authors\":\"Renya He, Longli Tang, Xinyu Han, W. He, Zehui Zhao\",\"doi\":\"10.1109/QRS-C.2018.00051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a software component reliability evaluation method based on the characteristic parameters which are obtained in software development process. These characteristic parameters depend on the properties, purpose and development process characteristics of the software. They are divided into two categories: inherent characteristics and development process characteristics. According to the data collected in our warship component software testing practice, we can gradually optimize the parameters of the prediction model of the ROME laboratory, and then find out the factors which affect the structural reliability. This method can be widely used in evaluating software component reliability.\",\"PeriodicalId\":199384,\"journal\":{\"name\":\"2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/QRS-C.2018.00051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QRS-C.2018.00051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Software Component Reliability Evaluation Method Based on Characteristic Parameters
This paper presents a software component reliability evaluation method based on the characteristic parameters which are obtained in software development process. These characteristic parameters depend on the properties, purpose and development process characteristics of the software. They are divided into two categories: inherent characteristics and development process characteristics. According to the data collected in our warship component software testing practice, we can gradually optimize the parameters of the prediction model of the ROME laboratory, and then find out the factors which affect the structural reliability. This method can be widely used in evaluating software component reliability.