An Empirical Study of Program Modification Histories
Name
AI_WP_240.pdf
Description
Main article
Size
818.78 KB
Format
Adobe PDF
Checksum (MD5)
db290c273214d2764a5c2fe8be31d780
Author(s)
Zelinka, Linda M.
Date Issued
March 1983
Publisher
MIT Artificial Intelligence Laboratory
Series/Report no.
MIT Artificial Intelligence Laboratory Working Papers, WP-240
Abstract
Large programs undergo many changes before they run in a satisfactory manner. For many large programs, modification histories are kept which record every change that is made to the program. By studying these records, patterns of program evolution can be identified. This paper describes a taxonomy of types of changes which was developed by studying several such histories. In addition, it discusses a possible application of this classification in an interactive tool for the updating of user documentation.
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