{"title":"The vital few versus the trivial many: examining the Pareto principle for software","authors":"Mechelle Gittens, Y. Kim, David Godwin","doi":"10.1109/COMPSAC.2005.153","DOIUrl":null,"url":null,"abstract":"This paper discusses the Pareto principle as it relates to the distribution of software defects in code. We look at evidence in the context of both the software test team, and users of the software. We also investigate two related principles. The first principle is that the distribution of defects in code relates to the distribution of complexity in code. The second principle is that how we define complexity relates to the distribution of defects in code. We present this work as an empirical study of three general hypotheses investigated for large production-level software; we show that the essence of the principle holds, while precise percentages do not.","PeriodicalId":419267,"journal":{"name":"29th Annual International Computer Software and Applications Conference (COMPSAC'05)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"29th Annual International Computer Software and Applications Conference (COMPSAC'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPSAC.2005.153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
This paper discusses the Pareto principle as it relates to the distribution of software defects in code. We look at evidence in the context of both the software test team, and users of the software. We also investigate two related principles. The first principle is that the distribution of defects in code relates to the distribution of complexity in code. The second principle is that how we define complexity relates to the distribution of defects in code. We present this work as an empirical study of three general hypotheses investigated for large production-level software; we show that the essence of the principle holds, while precise percentages do not.