T. Menzies, Justin S Di, Stefano, Mike Chapman, Ken McGill
{"title":"Metrics that matter","authors":"T. Menzies, Justin S Di, Stefano, Mike Chapman, Ken McGill","doi":"10.1109/SEW.2002.1199449","DOIUrl":null,"url":null,"abstract":"Within NASA, there is an increasing awareness that software is of growing importance to the success of missions. Much data has been collected, and many theories have been advanced on how to reduce or eliminate errors in code. However, learning requires experience. We document a new NASA initiative to build a centralized repository of software defect data; in particular, we document one specific case study on software metrics. Software metrics are used as a basis for prediction of errors in code modules, but there are many different metrics available. McCabe is one of the more popular tools used to produce metrics, but, other metrics can be more significant.","PeriodicalId":146269,"journal":{"name":"27th Annual NASA Goddard/IEEE Software Engineering Workshop, 2002. Proceedings.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"86","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"27th Annual NASA Goddard/IEEE Software Engineering Workshop, 2002. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEW.2002.1199449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 86
Abstract
Within NASA, there is an increasing awareness that software is of growing importance to the success of missions. Much data has been collected, and many theories have been advanced on how to reduce or eliminate errors in code. However, learning requires experience. We document a new NASA initiative to build a centralized repository of software defect data; in particular, we document one specific case study on software metrics. Software metrics are used as a basis for prediction of errors in code modules, but there are many different metrics available. McCabe is one of the more popular tools used to produce metrics, but, other metrics can be more significant.
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