{"title":"The lines of code metric as a predictor of program faults: a critical analysis","authors":"T. Khoshgoftaar, J. Munson","doi":"10.1109/CMPSAC.1990.139396","DOIUrl":null,"url":null,"abstract":"The relationship between measures of software complexity and programming errors is explored. Four distinct regression models were developed for an experimental set of data to create a predictive model from software complexity metrics to program errors. The lines of code metric, traditionally associated with programming errors in predictive models, was found to be less valuable as a criterion measure in these models than measures of software control complexity. A factor analytic technique used to construct a linear compound of lines of code with control metrics was found to yield models of superior predictive quality.<<ETX>>","PeriodicalId":127509,"journal":{"name":"Proceedings., Fourteenth Annual International Computer Software and Applications Conference","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings., Fourteenth Annual International Computer Software and Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPSAC.1990.139396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 32
Abstract
The relationship between measures of software complexity and programming errors is explored. Four distinct regression models were developed for an experimental set of data to create a predictive model from software complexity metrics to program errors. The lines of code metric, traditionally associated with programming errors in predictive models, was found to be less valuable as a criterion measure in these models than measures of software control complexity. A factor analytic technique used to construct a linear compound of lines of code with control metrics was found to yield models of superior predictive quality.<>
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