{"title":"Analysis of Information Technology Evolution: An Entropy Tree Perspective","authors":"Seong-Hyun Kim, Sunshin An","doi":"10.1109/DEST.2007.371967","DOIUrl":null,"url":null,"abstract":"In this paper we analyze the nature of the evolution of technology, particularly information technology. The pace of evolution in IT demands rapid adaptation by programmers and engineers. This means keeping abreast of changing programming languages and techniques. This paper proposes a technology entropy tree which illustrates the hierarchical relationship between previous and successor technologies. The purpose of our proposal is to give programmers and engineers a deeper understanding of the patterns of technological evolution in IT in order to enable them to effectively keep up with rapid changes in technology. We use examples from programming languages to describe properties of technology evolution. We also present criteria based on a technology entropy tree for comparing technologies and selecting career paths. Finally we propose a feasible strategy to cope with fast-paced technology change and growth using prior results.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEST.2007.371967","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
In this paper we analyze the nature of the evolution of technology, particularly information technology. The pace of evolution in IT demands rapid adaptation by programmers and engineers. This means keeping abreast of changing programming languages and techniques. This paper proposes a technology entropy tree which illustrates the hierarchical relationship between previous and successor technologies. The purpose of our proposal is to give programmers and engineers a deeper understanding of the patterns of technological evolution in IT in order to enable them to effectively keep up with rapid changes in technology. We use examples from programming languages to describe properties of technology evolution. We also present criteria based on a technology entropy tree for comparing technologies and selecting career paths. Finally we propose a feasible strategy to cope with fast-paced technology change and growth using prior results.