{"title":"基于COTS软件的系统熵度量","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":"{\"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}","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}
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.