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 language | English (US) |
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Title of host publication | 16th International Conference on Software Engineering and Data Engineering, SEDE 2007 |
Pages | 349-355 |
Number of pages | 7 |
State | Published - Dec 1 2007 |
Event | 16th International Conference on Software Engineering and Data Engineering, SEDE 2007 - Las Vegas, NV, United States Duration: Jul 9 2007 → Jul 11 2007 |
Other
Other | 16th International Conference on Software Engineering and Data Engineering, SEDE 2007 |
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Country/Territory | United States |
City | Las Vegas, NV |
Period | 7/9/07 → 7/11/07 |
All Science Journal Classification (ASJC) codes
- Software