{"title":"大型数据集的软件生产力分析以及机密性和数据质量问题","authors":"G. Liebchen, M. Shepperd","doi":"10.1109/METRICS.2005.43","DOIUrl":null,"url":null,"abstract":"The paper reports on an ongoing investigation into software productivity and its influencing factors. Analysis of a data set containing project management of a large multinational company. The data set contains tables holding information about more than 25000 closed projects collected since 1990. Due to incomplete data only 1413 closed projects could be used for the investigation. Confidentiality was also considered as a major issue. The projects in the data set vary greatly in their productivity. Analysis of productivity and its influencing factors","PeriodicalId":402415,"journal":{"name":"11th IEEE International Software Metrics Symposium (METRICS'05)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Software productivity analysis of a large data set and issues of confidentiality and data quality\",\"authors\":\"G. Liebchen, M. Shepperd\",\"doi\":\"10.1109/METRICS.2005.43\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper reports on an ongoing investigation into software productivity and its influencing factors. Analysis of a data set containing project management of a large multinational company. The data set contains tables holding information about more than 25000 closed projects collected since 1990. Due to incomplete data only 1413 closed projects could be used for the investigation. Confidentiality was also considered as a major issue. The projects in the data set vary greatly in their productivity. Analysis of productivity and its influencing factors\",\"PeriodicalId\":402415,\"journal\":{\"name\":\"11th IEEE International Software Metrics Symposium (METRICS'05)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"11th IEEE International Software Metrics Symposium (METRICS'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/METRICS.2005.43\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"11th IEEE International Software Metrics Symposium (METRICS'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METRICS.2005.43","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Software productivity analysis of a large data set and issues of confidentiality and data quality
The paper reports on an ongoing investigation into software productivity and its influencing factors. Analysis of a data set containing project management of a large multinational company. The data set contains tables holding information about more than 25000 closed projects collected since 1990. Due to incomplete data only 1413 closed projects could be used for the investigation. Confidentiality was also considered as a major issue. The projects in the data set vary greatly in their productivity. Analysis of productivity and its influencing factors
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