A quantitative model for software engineering trends

Document Type

Article

Publication Date

11-15-2011

Abstract

Many decision-makers in industry, government and academia routinely make decisions whose outcome depends on the evolution of software technology trends. Even though the stakes of these decisions are usually very high, decision makers routinely depend on expert opinions and qualitative assessments to model the evolution of software technology; both of these sources of decision-making information are subjective, are based on opinions rather than facts, and are prone to error. In this paper, we report on our ongoing work to build quantitative models of the evolution of software technology trends. In particular, we discuss how we took specific evolutionary models and merged them into a single (general-purpose) model. The original specific models are derived empirically using statistical methods on trend data we had collected over several years, and have been validated individually; in this paper we further validate the generic (general-purpose) model. © 2011 Elsevier Inc. All rights reserved.

Identifier

80052022369 (Scopus)

Publication Title

Information Sciences

External Full Text Location

https://doi.org/10.1016/j.ins.2011.07.004

ISSN

00200255

First Page

4993

Last Page

5009

Issue

22

Volume

181

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