{"title":"论名义、序数和其他尺度的综合指数的定义和使用","authors":"S. Morasca","doi":"10.1109/METRIC.2004.1357890","DOIUrl":null,"url":null,"abstract":"It is not uncommon in software engineering measurement to deal with attributes measured with nominal or ordinal scales. Also, it has long been debated whether it is possible to find ordinal scales for the structural complexity of software code. We address two problems: (1) the definition of concentration and dispersion indices for nominal scales; (2) the conditions under which the comparisons of arithmetic means or geometric means are meaningful for scales that are ordinal or not even ordinal.","PeriodicalId":261807,"journal":{"name":"10th International Symposium on Software Metrics, 2004. Proceedings.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"On the definition and use of aggregate indices for nominal, ordinal, and other scales\",\"authors\":\"S. Morasca\",\"doi\":\"10.1109/METRIC.2004.1357890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is not uncommon in software engineering measurement to deal with attributes measured with nominal or ordinal scales. Also, it has long been debated whether it is possible to find ordinal scales for the structural complexity of software code. We address two problems: (1) the definition of concentration and dispersion indices for nominal scales; (2) the conditions under which the comparisons of arithmetic means or geometric means are meaningful for scales that are ordinal or not even ordinal.\",\"PeriodicalId\":261807,\"journal\":{\"name\":\"10th International Symposium on Software Metrics, 2004. Proceedings.\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"10th International Symposium on Software Metrics, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/METRIC.2004.1357890\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"10th International Symposium on Software Metrics, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METRIC.2004.1357890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the definition and use of aggregate indices for nominal, ordinal, and other scales
It is not uncommon in software engineering measurement to deal with attributes measured with nominal or ordinal scales. Also, it has long been debated whether it is possible to find ordinal scales for the structural complexity of software code. We address two problems: (1) the definition of concentration and dispersion indices for nominal scales; (2) the conditions under which the comparisons of arithmetic means or geometric means are meaningful for scales that are ordinal or not even ordinal.
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