{"title":"功能点之间的项目间相关性","authors":"B. Kitchenham, Kari Känsälä","doi":"10.1109/METRIC.1993.263805","DOIUrl":null,"url":null,"abstract":"The paper reports on an empirical investigation of Albrecht function points.The study suggests that function points are not well-formed metrics because there is a correlation between their constituent elements. It also suggests that (for the dataset under investigation) two of the constituent elements were as good at predicting effort as the raw function point count and that the unweighted counts can be reasonable predictors of effort.<<ETX>>","PeriodicalId":320762,"journal":{"name":"[1993] Proceedings First International Software Metrics Symposium","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"64","resultStr":"{\"title\":\"Inter-item correlations among function points\",\"authors\":\"B. Kitchenham, Kari Känsälä\",\"doi\":\"10.1109/METRIC.1993.263805\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper reports on an empirical investigation of Albrecht function points.The study suggests that function points are not well-formed metrics because there is a correlation between their constituent elements. It also suggests that (for the dataset under investigation) two of the constituent elements were as good at predicting effort as the raw function point count and that the unweighted counts can be reasonable predictors of effort.<<ETX>>\",\"PeriodicalId\":320762,\"journal\":{\"name\":\"[1993] Proceedings First International Software Metrics Symposium\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"64\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1993] Proceedings First International Software Metrics Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/METRIC.1993.263805\",\"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] Proceedings First International Software Metrics Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METRIC.1993.263805","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper reports on an empirical investigation of Albrecht function points.The study suggests that function points are not well-formed metrics because there is a correlation between their constituent elements. It also suggests that (for the dataset under investigation) two of the constituent elements were as good at predicting effort as the raw function point count and that the unweighted counts can be reasonable predictors of effort.<>