Newby, G.B.; Greenberg, J.; Jones, P.: Open source software development and Lotka's law : bibliometric patterns in programming (2003)
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- Abstract
- Newby, Greenberg, and Jones analyze programming productivity of open source software by counting registered developers contributions found in the Linux Software Map and in Scourceforge. Using seven years of data from a subset of the Linux directory tree LSM data provided 4503 files with 3341 unique author names. The distribution follows Lotka's Law with an exponent of 2.82 as verified by the Kolmolgorov-Smirnov one sample goodness of fit test. Scourceforge data is broken into developers and administrators, but when both were used as authors the Lotka distribution exponent of 2.55 produces the lowest error. This would not be significant by the K-S test but the 3.54% maximum error would indicate a fit and calls into question the appropriateness of K-S for large populations of authors.
