Analysis of software evolution processes using statistical distribution Models

Authors:
Tetsuo Tamai;Takako Nakatani
Affiliations:
The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan;SLagoon Co.,Ltd., 4-12-14-102 Ainokawa, Ichikawa Chiba, 272-0143, Japan
Venue:
Proceedings of the International Workshop on Principles of Software Evolution
Year:
2002

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Abstract

Size data of software systems are constantly collected but so far there have been no studies of applying statistical distribution models to analyze and interpret those data. In this paper, we show that the negative binomial distribution fits well to the distribution of size data such as the number of methods per class and number of lines of code per method and can be effectively used to trace software evolution processes.