S. Roubtsov, Alexander Serebrenik, M. van den Brand
{"title":"Dn-based design quality comparison of industrial Java applications","authors":"S. Roubtsov, Alexander Serebrenik, M. van den Brand","doi":"10.1109/CEE-SECR.2009.5501182","DOIUrl":null,"url":null,"abstract":"The normalized distance from the main sequence, denoted Dn, is a popular object-oriented metric introduced by Martin in 1994. While the metric has been designed for assessment of individual packages it has also been applied in practice to quality assessment of entire software architectures. This gap between the industrial practice and theoretical understanding has been recently addressed for Java open-source systems. Based on study of a benchmarks collection the authors proposed a statistical model characterizing (a) the average value of Dn, and (b) distribution of Dn. Contribution of the current work is twofold. First, we show feasibility of application of the Dn-based assessment above to commercial Java applications. Second, we validate the approach by showing that the results obtained are consistent with those obtained by means of a series of independent studies, such as layering, presence of cyclic dependencies and Chidamber's and Kemerer's metrics.","PeriodicalId":402768,"journal":{"name":"2009 5th Central and Eastern European Software Engineering Conference in Russia (CEE-SECR)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 5th Central and Eastern European Software Engineering Conference in Russia (CEE-SECR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEE-SECR.2009.5501182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The normalized distance from the main sequence, denoted Dn, is a popular object-oriented metric introduced by Martin in 1994. While the metric has been designed for assessment of individual packages it has also been applied in practice to quality assessment of entire software architectures. This gap between the industrial practice and theoretical understanding has been recently addressed for Java open-source systems. Based on study of a benchmarks collection the authors proposed a statistical model characterizing (a) the average value of Dn, and (b) distribution of Dn. Contribution of the current work is twofold. First, we show feasibility of application of the Dn-based assessment above to commercial Java applications. Second, we validate the approach by showing that the results obtained are consistent with those obtained by means of a series of independent studies, such as layering, presence of cyclic dependencies and Chidamber's and Kemerer's metrics.