Monitoring software technology evolution, one trend at a time

Yanzhi Bai, Ali Mili

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The ability to model the evolution of software technology trends is valuable to many stakeholders in industry, academia, and government. Yet we often depend exclusively on the opinions of alleged experts to make predictions on trend evolution. In this paper we discuss an ongoing long term effort at bringing a measure of quantitative analysis to this discipline. We see our contributions as complementing expert opinions, not substituting for them.

Original languageEnglish (US)
Title of host publication16th International Conference on Software Engineering and Data Engineering, SEDE 2007
Pages349-355
Number of pages7
StatePublished - Dec 1 2007
Event16th International Conference on Software Engineering and Data Engineering, SEDE 2007 - Las Vegas, NV, United States
Duration: Jul 9 2007Jul 11 2007

Other

Other16th International Conference on Software Engineering and Data Engineering, SEDE 2007
Country/TerritoryUnited States
CityLas Vegas, NV
Period7/9/077/11/07

All Science Journal Classification (ASJC) codes

  • Software

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