{"title":"The Application of Gray-Prediction Theory in the Software Defects Management","authors":"Dianqin Zhu, Zhongyuan Wu","doi":"10.1109/CISE.2009.5366957","DOIUrl":null,"url":null,"abstract":"zhu dianqin wu zhongyuan (school of management,TianJin polytechnic university,TianJin,China.300387) Abstract:Software defects are the parts of software products that software development company have to face. How to deal with them suitably is very important for software company’s survival. This article will use the collecting data of software defects. Then, according to GM (1, 1), which is the core theory of the Gary-prediction, establish the prediction model. Finally, we gain the prediction values. The results show that software company can improve software quality, control development process and allocate resources effectively.","PeriodicalId":135441,"journal":{"name":"2009 International Conference on Computational Intelligence and Software Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Computational Intelligence and Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISE.2009.5366957","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
zhu dianqin wu zhongyuan (school of management,TianJin polytechnic university,TianJin,China.300387) Abstract:Software defects are the parts of software products that software development company have to face. How to deal with them suitably is very important for software company’s survival. This article will use the collecting data of software defects. Then, according to GM (1, 1), which is the core theory of the Gary-prediction, establish the prediction model. Finally, we gain the prediction values. The results show that software company can improve software quality, control development process and allocate resources effectively.
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