{"title":"Recovery And Enhancement Of System Patterns Infoschemata And Infomaps","authors":"W. M. Jaworski, A. Michailidis","doi":"10.1109/ATW.1994.747828","DOIUrl":null,"url":null,"abstract":"Evolving systems demand technology transfer. Knowledge is the most important ingredient in technology transfer. However, the creation of knowledge is a complex, slow and expensive process. Recovery and enhancement of knowledge from existing systems for integration into evolving systems is the logical and more attractive approach. Most of system research and development generates complex concepts. A need for the development of schemata in a multidimensional environment is more evident now than ever before. Team work could be converted from a single to a multi-tasking environment and enable developers to perform tasks concurrently. This paper presents the underlying principles for the recovery and development of reusable system patterns. The proposed approach supports crossfunctional development teams, multidimensional modeling and concurrent engineering paradigms. The evolving model of recovering and analyzing existing patterns is described. This model attempts to minimize the conceptual complexity of systems by identifying and abstracting schemata. The analysis performed on the original concepts and methodologies enables the discovery and integration of simple schemata into a library of reusable patterns. The application of a knowledge recovery process to object-oriented methodologies, CASE tools and development of a patterns library is also presented.","PeriodicalId":217615,"journal":{"name":"The Third Annual Atlantic Test Workshop","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Third Annual Atlantic Test Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATW.1994.747828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Evolving systems demand technology transfer. Knowledge is the most important ingredient in technology transfer. However, the creation of knowledge is a complex, slow and expensive process. Recovery and enhancement of knowledge from existing systems for integration into evolving systems is the logical and more attractive approach. Most of system research and development generates complex concepts. A need for the development of schemata in a multidimensional environment is more evident now than ever before. Team work could be converted from a single to a multi-tasking environment and enable developers to perform tasks concurrently. This paper presents the underlying principles for the recovery and development of reusable system patterns. The proposed approach supports crossfunctional development teams, multidimensional modeling and concurrent engineering paradigms. The evolving model of recovering and analyzing existing patterns is described. This model attempts to minimize the conceptual complexity of systems by identifying and abstracting schemata. The analysis performed on the original concepts and methodologies enables the discovery and integration of simple schemata into a library of reusable patterns. The application of a knowledge recovery process to object-oriented methodologies, CASE tools and development of a patterns library is also presented.