Ata uhi

Open source software development and Lotka's Law: Bibliometric patterns in programming

I tiakina i:
I whakaputaina i:Journal of the American Society for Information Science and Technology vol. 54, no. 2 (Jan 15, 2003), p. 169
Kaituhi matua: Newby, Gregory B
Ētahi atu kaituhi: Greenberg, Jane, Jones, Paul
I whakaputaina:
Wiley Periodicals Inc.
Ngā marau:
New York
United States > US
Studies
Open source software
Metadata
Linux
Mathematical analysis
Creativity
Authoring
Law
Harnesses
Internet
Productivity
Software development
Freeware
Product development
Cataloging rules
Dictionaries
Library cataloging
Scholarly publishing
Public domain
Bibliometrics
Programmers
Bibliographic control
Lotka's Law
Software
Property
Copyright
Cataloging
Journal Articles
Authors
Coding
Bibliographic Databases
Data Analysis
Writing Instruction
Computer Software
Programming
Urunga tuihono:Citation/Abstract
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Whakarāpopotonga:This research applies Lotka's Law to metadata on open source software development. Lotka's law predicts the proportion of authors at different levels of productivity. Open source software development harnesses the creativity of thousands of programmers worldwide, is important to the progress of the Internet and many other computing environments, and yet has not been widely researched. Metadata is examined from the Linux Software Map (LSM), which documents many open source projects, and Sourceforge, one of the largest resources for open source developers. Authoring patterns found dare comparable to prior studies of Lotka's Law for scientific and scholarly publishing. Lotka's law was found to be effective in understanding software development productivity patterns, and offers promise in predicting aggregate behavior of open source developers.
ISSN:1532-2882
1532-2890
2330-1635
2330-1643
0096-946X
0002-8231
DOI:10.1002/asi.10177
Puna:ABI/INFORM Global