{"title":"朝着软件度量的目录格式发展","authors":"Eric Bouwers, A. Deursen, Joost Visser","doi":"10.1145/2593868.2593876","DOIUrl":null,"url":null,"abstract":"In the past two decades both the industry and the research community have proposed hundreds of metrics to track software projects, evaluate quality or estimate effort. Unfortunately, it is not always clear which metric works best in a particular context. Even worse, for some metrics there is little evidence whether the metric measures the attribute it was designed to measure. \n In this paper we propose a catalog format for software metrics as a first step towards a consolidated overview of available software metrics. This format is designed to provide an overview of the status of a metric in a glance, while providing enough information to make an informed decision about the use of the metric. We envision this format to be implemented in a (semantic) wiki to ensure that relationships between metrics can be followed with ease.","PeriodicalId":103819,"journal":{"name":"Workshop on Emerging Trends in Software Metrics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Towards a catalog format for software metrics\",\"authors\":\"Eric Bouwers, A. Deursen, Joost Visser\",\"doi\":\"10.1145/2593868.2593876\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the past two decades both the industry and the research community have proposed hundreds of metrics to track software projects, evaluate quality or estimate effort. Unfortunately, it is not always clear which metric works best in a particular context. Even worse, for some metrics there is little evidence whether the metric measures the attribute it was designed to measure. \\n In this paper we propose a catalog format for software metrics as a first step towards a consolidated overview of available software metrics. This format is designed to provide an overview of the status of a metric in a glance, while providing enough information to make an informed decision about the use of the metric. We envision this format to be implemented in a (semantic) wiki to ensure that relationships between metrics can be followed with ease.\",\"PeriodicalId\":103819,\"journal\":{\"name\":\"Workshop on Emerging Trends in Software Metrics\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Emerging Trends in Software Metrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2593868.2593876\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Emerging Trends in Software Metrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2593868.2593876","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In the past two decades both the industry and the research community have proposed hundreds of metrics to track software projects, evaluate quality or estimate effort. Unfortunately, it is not always clear which metric works best in a particular context. Even worse, for some metrics there is little evidence whether the metric measures the attribute it was designed to measure.
In this paper we propose a catalog format for software metrics as a first step towards a consolidated overview of available software metrics. This format is designed to provide an overview of the status of a metric in a glance, while providing enough information to make an informed decision about the use of the metric. We envision this format to be implemented in a (semantic) wiki to ensure that relationships between metrics can be followed with ease.