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2009 IEEE/ACS International Conference on Computer Systems and Applications
WapMetrics: A tool for computing UML design metrics forWeb applications
Rabat, Morocco
May 10-May 13
ISBN: 978-1-4244-3807-5
ASCII Text
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Emad Ghosheh, Sue Black, "WapMetrics: A tool for computing UML design metrics forWeb applications," Computer Systems and Applications, ACS/IEEE International Conference on, pp. 682-689, 2009 IEEE/ACS International Conference on Computer Systems and Applications, 2009.
 
 
BibTex
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@article{ 10.1109/AICCSA.2009.5069401,
author = {Emad Ghosheh and Sue Black},
title = {WapMetrics: A tool for computing UML design metrics forWeb applications},
journal ={Computer Systems and Applications, ACS/IEEE International Conference on},
volume = {0},
year = {2009},
isbn = {978-1-4244-3807-5},
pages = {682-689},
doi = {http://doi.ieeecomputersociety.org/10.1109/AICCSA.2009.5069401},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Systems and Applications, ACS/IEEE International Conference on
TI - WapMetrics: A tool for computing UML design metrics forWeb applications
SN - 978-1-4244-3807-5
SP682
EP689
A1 - Emad Ghosheh,
A1 - Sue Black,
PY - 2009
VL - 0
JA - Computer Systems and Applications, ACS/IEEE International Conference on
ER -
 
Emad Ghosheh, University of Westminster, Department of Information and Software Systems, London HA1 3TP, UK
Sue Black, University of Westminster, Head of Department of Information and Software Systems, London HA1 3TP, UK
Many companies are still asking how to assess and predict the maintenance cost of their software. Measures of software maintenance cost can be taken either late or early in the development process. Early measures of software maintenance cost are beneficial because they can help in allocating project resources efficiently, predicting the effort of maintenance tasks and controlling the maintenance process. This paper describes a tool for computing early metrics from UML class diagrams based on the Web Application Extension (WAE) for UML. A case study is used to show the usefulness and effectiveness of the tool.
Citation:
Emad Ghosheh, Sue Black, "WapMetrics: A tool for computing UML design metrics forWeb applications," aiccsa, pp.682-689, 2009 IEEE/ACS International Conference on Computer Systems and Applications, 2009
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