A unified classification system for research in the computing discipline

Vessey, Iris, Ramesh, V. and Glass, Robert L. (2005) A unified classification system for research in the computing discipline. Information and Software Technology, 47 4: 245-255. doi:10.1016/j.infsof.2004.08.006

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Author Vessey, Iris
Ramesh, V.
Glass, Robert L.
Title A unified classification system for research in the computing discipline
Journal name Information and Software Technology   Check publisher's open access policy
ISSN 0950-5849
Publication date 2005-03-15
Sub-type Article (original research)
DOI 10.1016/j.infsof.2004.08.006
Open Access Status
Volume 47
Issue 4
Start page 245
End page 255
Total pages 11
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Subject 0806 Information Systems
Abstract The field of computing is made up of several disciplines of which Computer Science, Software Engineering, and Information Systems are arguably three of the primary ones. Despite the fact that each discipline has a specific focus, there is also considerable overlap. Knowledge sharing, however, is becoming increasingly difficult as the body of knowledge in each discipline increases and specialization results. For effective knowledge sharing, it is therefore important to have a unified classification system by means of which the bodies of knowledge that constitute the field may be compared and contrasted. This paper presents a multi-faceted system based on five research-focused characteristics: topic, approach, method, unit of analysis, and reference discipline. The classification system was designed based on the requirements for effective classification systems, and was then used to investigate these five characteristics of research in the computing field.
Keyword Classification system
Research method
Research approach
Reference discipline
Unit of analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
ERA 2012 Admin Only
UQ Business School Publications
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Citation counts: TR Web of Science Citation Count  Cited 24 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 38 times in Scopus Article | Citations
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Created: Wed, 08 Apr 2009, 01:38:11 EST by Ms Lynette Adams on behalf of UQ Business School