Investigating patterns and task type correlations in open source mailing lists for programmer comprehension

Pamela O'Shea; Chris Exton

This paper describes an investigation using data from a number of open source mailing lists. A methodology is described that details the procedure used to extract program summaries posted to mailing lists by experienced programmers as well as the type of analysis involved. The data are analyzed for patterns and correlations between task type and the program comprehension scheme categories used. When compared to laboratory style empirical studies, an advantage is gained allowing stronger ecological valid insights into programmer comprehension.

Type of Publication: Paper
Conference: PPIG 2004 - 16th Annual Workshop
Publication Year: 2004
Paper #: 18
TitleInvestigating patterns and task type correlations in open source mailing lists for programmer comprehension
Publication TypePaper
AuthorsO'Shea, P, Exton, C
PPIG Workshop: 
2004-04-16th