{"title":"Numerical software quality control in object oriented development","authors":"T. Yamaura, A. Onoma","doi":"10.1109/SOSE.2005.24","DOIUrl":null,"url":null,"abstract":"This paper proposes new method to predict the number of the remaining bugs at the delivery inspection applied to every iteration of OOD, object oriented development. Our method consists of two parts. The first one estimates the number of the remaining bugs by applying the Gompertz curve. The second one uses the interval estimation called OOQP, object oriented quality probe. The basic idea of OOQP is to randomly extract a relatively small number of test cases, usually 10 to 20% of the entire test cases, and to execute them in the actual operation environment. From the test result of OOQP, we can efficiently predict the number of the remaining bugs by the interval estimation. The premier problem of OOQP is that OOD is imposed to use the system design specification document whose contents, like UML, tend to be ambiguous. Our estimation method works well at a matrix-typed organization where a QA team and a development team collaboratively work together to improve the software quality.","PeriodicalId":229065,"journal":{"name":"IEEE International Workshop on Service-Oriented System Engineering (SOSE'05)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Workshop on Service-Oriented System Engineering (SOSE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOSE.2005.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes new method to predict the number of the remaining bugs at the delivery inspection applied to every iteration of OOD, object oriented development. Our method consists of two parts. The first one estimates the number of the remaining bugs by applying the Gompertz curve. The second one uses the interval estimation called OOQP, object oriented quality probe. The basic idea of OOQP is to randomly extract a relatively small number of test cases, usually 10 to 20% of the entire test cases, and to execute them in the actual operation environment. From the test result of OOQP, we can efficiently predict the number of the remaining bugs by the interval estimation. The premier problem of OOQP is that OOD is imposed to use the system design specification document whose contents, like UML, tend to be ambiguous. Our estimation method works well at a matrix-typed organization where a QA team and a development team collaboratively work together to improve the software quality.