{"title":"A COTS-Based Approach for Evolving legacy Systems","authors":"G. Kotonya, J. Hutchinson","doi":"10.1109/ICCBSS.2007.1","DOIUrl":null,"url":null,"abstract":"The potential benefits of evolving legacy systems to COTS-based component architectures are well documented. These include rapid, non-intrusive modernization through the use of COTS software components, and significantly reduced post maintenance costs. However, the hype has not translated to a corresponding increase in the migration of legacy systems to COTS-based architectures. There are two main reasons for this. First, many legacy systems provide adequate core functionality. For this type of legacy system, replacement may not be the most cost-effective solution. Secondly, there is a general lack of scalable methods and tools that support COTS-based evolution of legacy systems. This paper describes our experience in using a component-based method to evolve a legacy system","PeriodicalId":326403,"journal":{"name":"2007 Sixth International IEEE Conference on Commercial-off-the-Shelf (COTS)-Based Software Systems (ICCBSS'07)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2007-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Sixth International IEEE Conference on Commercial-off-the-Shelf (COTS)-Based Software Systems (ICCBSS'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCBSS.2007.1","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
The potential benefits of evolving legacy systems to COTS-based component architectures are well documented. These include rapid, non-intrusive modernization through the use of COTS software components, and significantly reduced post maintenance costs. However, the hype has not translated to a corresponding increase in the migration of legacy systems to COTS-based architectures. There are two main reasons for this. First, many legacy systems provide adequate core functionality. For this type of legacy system, replacement may not be the most cost-effective solution. Secondly, there is a general lack of scalable methods and tools that support COTS-based evolution of legacy systems. This paper describes our experience in using a component-based method to evolve a legacy system
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