{"title":"软件质量保证中的代表性抽样","authors":"Neera Bansal Talbert","doi":"10.1109/ICSM.1993.366945","DOIUrl":null,"url":null,"abstract":"Estimating the representative sampling size, by constructing confidence levels from risk analysis, is an integral part of the software quality assurance (SQA) audit function. How the combination of two valid industry mechanisms can be used to determine a truly representative sampling size and maximize limited resources is described. The goal is to produce a high-quality product which is cost effective. Through risk management and statistical sampling, the Mission Operations Directorate Information Systems Group (MODIS) has reduced the number of audits required for a project and reduced SQA costs without compromising quality.<<ETX>>","PeriodicalId":228379,"journal":{"name":"1993 Conference on Software Maintenance","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Representative sampling within software quality assurance\",\"authors\":\"Neera Bansal Talbert\",\"doi\":\"10.1109/ICSM.1993.366945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Estimating the representative sampling size, by constructing confidence levels from risk analysis, is an integral part of the software quality assurance (SQA) audit function. How the combination of two valid industry mechanisms can be used to determine a truly representative sampling size and maximize limited resources is described. The goal is to produce a high-quality product which is cost effective. Through risk management and statistical sampling, the Mission Operations Directorate Information Systems Group (MODIS) has reduced the number of audits required for a project and reduced SQA costs without compromising quality.<<ETX>>\",\"PeriodicalId\":228379,\"journal\":{\"name\":\"1993 Conference on Software Maintenance\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1993 Conference on Software Maintenance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSM.1993.366945\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1993 Conference on Software Maintenance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSM.1993.366945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Representative sampling within software quality assurance
Estimating the representative sampling size, by constructing confidence levels from risk analysis, is an integral part of the software quality assurance (SQA) audit function. How the combination of two valid industry mechanisms can be used to determine a truly representative sampling size and maximize limited resources is described. The goal is to produce a high-quality product which is cost effective. Through risk management and statistical sampling, the Mission Operations Directorate Information Systems Group (MODIS) has reduced the number of audits required for a project and reduced SQA costs without compromising quality.<>
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