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Type: Artigo de periódico
Title: Empirical evaluation in Computer Science research published by ACM
Author: Wainer, J
Barsottini, CGN
Lacerda, D
de Marco, LRM
Abstract: This paper repeats part of the analysis performed in the 1995 paper "Experimental evaluation in Computer Science: a quantitative study" by Tichy and collaborators, for 147 papers randomly selected from the ACM, published in the year 2005. The papers published in 2005 are classified in the following way: 4% theory, 17% empirical, 4.7% hypothesis testing, 3.4% other, and 70% design and modeling (using the 1995 paper categories). Within the design and modeling class, 33% of the papers have no evaluation. The numbers of the 2005 sample are very similar to the original figures for the 1995 sample, which shows that Computer Science research has not increased significantly its empirical or experimental component. (C) 2009 Elsevier B.V. All rights reserved.
Subject: Empirical evaluation
Research evaluation
Systematic review
Country: Holanda
Editor: Elsevier Science Bv
Citation: Information And Software Technology. Elsevier Science Bv, v. 51, n. 6, n. 1081, n. 1085, 2009.
Rights: fechado
Identifier DOI: 10.1016/j.infsof.2009.01.002
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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