{"title":"Entropy-metric for systems with COTS software","authors":"N. Chapin","doi":"10.1109/METRIC.2002.1011336","DOIUrl":null,"url":null,"abstract":"Commercial-off-the-shelf (COTS) software components, component-based software, reused software, and object-oriented software come from diverse sources and have varied characteristics, but can be integrated to form software systems. The L-metric, a metric with a very strong validation from its foundation in information theory, can measure the complexity of the interaction of such components. This paper briefly reviews some message basics and presents the L-metric. The author looks at the four factors of the sensitivity of L-metric: 1) the amount of components such as COTS software incorporated in the system; 2) the choice of maintainer; 3) the extent of the customization of (COTS) components such as by wrappers and in-component changes; and 4) the effects of technology changes. In summary, the sensitivity of the L-metric can help in assessing in the face of software modification, the changes in system complexity affecting the maintainability for systems with component software such as COTS.","PeriodicalId":165815,"journal":{"name":"Proceedings Eighth IEEE Symposium on Software Metrics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth IEEE Symposium on Software Metrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METRIC.2002.1011336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
Commercial-off-the-shelf (COTS) software components, component-based software, reused software, and object-oriented software come from diverse sources and have varied characteristics, but can be integrated to form software systems. The L-metric, a metric with a very strong validation from its foundation in information theory, can measure the complexity of the interaction of such components. This paper briefly reviews some message basics and presents the L-metric. The author looks at the four factors of the sensitivity of L-metric: 1) the amount of components such as COTS software incorporated in the system; 2) the choice of maintainer; 3) the extent of the customization of (COTS) components such as by wrappers and in-component changes; and 4) the effects of technology changes. In summary, the sensitivity of the L-metric can help in assessing in the face of software modification, the changes in system complexity affecting the maintainability for systems with component software such as COTS.