Paper Info
Title
Discovering the Structures of Open Source Programs from Their Developer Mailing Lists
Abstract
This paper presents a method which discovers the structure of given open source programs from their developer mailing lists. Our goal is to help successive developers understand the structures and the components of open source programs even if documents about them are not provided sufficiently. Our method consists of two phases: (1) producing a mapping between the source files and the emails, and (2) constructing a lattice from the produced mapping and then reducing it with a novel algorithm, called PRUNIA (PRUN ing Algorithm Based on I ntroduced A ttributes), in order to obtain a more compact structure. We performed experiments with some open source projects which are originally from or popular in Japan such as Namazu and Ruby. The experimental results reveal that the extracted structures reflect very well important parts of the hidden structures of the programs.
Year
DOI
Venue
2009
10.1007/978-3-642-04747-3_19
Discovery Science
Keywords
Field
DocType
developer mailing lists,compact structure,open source project,hidden structure,source file,novel algorithm,developer mailing list,open source programs,prun ing algorithm,important part,open source program
Data mining,Computer science,Database
Conference
Volume
ISSN
Citations 
5808
0302-9743
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Dinh Anh Nguyen100.34
Koichiro Doi2317.59
Akihiro Yamamoto313526.84