Analysis of information technology evolution: An entropy tree perspective

Seongwoo Kim, Sunshin An

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007
Pages181-185
Number of pages5
DOIs
Publication statusPublished - 2007
Event2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007 - Cairns, Australia
Duration: 2007 Feb 21 → 2007 Feb 23

Publication series

NameProceedings of the 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007

Other

Other2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007
CountryAustralia
CityCairns
Period07/2/21 → 07/2/23

Keywords

  • Entropy
  • Programming language
  • Technology adaptation
  • Technology evolution

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Kim, S., & An, S. (2007). Analysis of information technology evolution: An entropy tree perspective. In Proceedings of the 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007 (pp. 181-185). [4233701] (Proceedings of the 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007). https://doi.org/10.1109/DEST.2007.371967