{"title":"A software cybernetic approach to control of the software system test phase","authors":"Scott D. Miller, R. Decarlo, A. Mathur","doi":"10.1109/COMPSAC.2005.33","DOIUrl":null,"url":null,"abstract":"A quantitative, adaptive process control technique is described using an industrially validated model of the software system test phase as concrete target to be controlled. The technique combines the use of parameter correction and model predictive control to overcome the problems induced by modeling errors, parameter estimation errors, and limits on the resources available for productivity improvement.","PeriodicalId":419267,"journal":{"name":"29th Annual International Computer Software and Applications Conference (COMPSAC'05)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","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.2005.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
A quantitative, adaptive process control technique is described using an industrially validated model of the software system test phase as concrete target to be controlled. The technique combines the use of parameter correction and model predictive control to overcome the problems induced by modeling errors, parameter estimation errors, and limits on the resources available for productivity improvement.
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