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How Webmining and Coupling Metrics Improve Early Program Comprehension
Athens, Greece June 14-June 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPC.2006.2614th IEEE International Conference on ...
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Andy Zaidman, Bart Du Bois, Serge Demeyer, "How Webmining and Coupling Metrics Improve Early Program Comprehension," International Conference on Program Comprehension, pp. 74-78, 14th IEEE International Conference on Program Comprehension (ICPC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICPC.2006.26,
author = {Andy Zaidman and Bart Du Bois and Serge Demeyer},
title = {How Webmining and Coupling Metrics Improve Early Program Comprehension},
journal ={International Conference on Program Comprehension},
volume = {0},
year = {2006},
isbn = {0-7695-2601-2},
pages = {74-78},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPC.2006.26},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Conference on Program Comprehension
TI - How Webmining and Coupling Metrics Improve Early Program Comprehension
SN - 0-7695-2601-2
SP74
EP78
A1 - Andy Zaidman,
A1 - Bart Du Bois,
A1 - Serge Demeyer,
PY - 2006
KW - null
VL - 0
JA - International Conference on Program Comprehension
ER -
 
Andy Zaidman, University of Antwerp, Belgium
Bart Du Bois, University of Antwerp, Belgium
Serge Demeyer, University of Antwerp, Belgium

During initial program comprehension, software engineers could benefit from knowing the most need-to-beunderstood classes in the system under study in order to kick-start their software reconnaissance.

Previously we have used webmining techniques on runtime trace data to identify these important classes. Here, we reprise this webmining technique and make a thorough comparison of its effectiveness when collecting static information of the software system under study.

Apache Ant and Jakarta JMeter, two medium-scale open source Java software systems, serve as case studies. From publicly available developers notes we conclude that the webmining technique in combination with dynamic analysis provides the best results with a level of recall of 90% when comparing with the developers? opinion.

Citation:
Andy Zaidman, Bart Du Bois, Serge Demeyer, "How Webmining and Coupling Metrics Improve Early Program Comprehension," icpc, pp.74-78, 14th IEEE International Conference on Program Comprehension (ICPC'06), 2006
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