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Published Articles >> Table of Contents >> Abstract
First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)
pp. 324-333
Comparing Size Measures for Predicting Web Application Development Effort: A Case Study
Sergio Di Martino, Universita di Salerno, Italy
Filomena Ferrucci, Universita di Salerno, Italy
Carmine Gravino, Universita di Salerno, Italy
Emilia Mendes, The University of Auckland, New Zealand
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ESEM.2007.33
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| Abstract |
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Size represents one of the most important attribute
of software products used to predict software
development effort. In the past nine years, several
measures have been proposed to estimate the size of
Web applications, and it is important to determine
which one is most effective to predict Web development
effort. To this aim in this paper we report on an
empirical analysis where, using data from 15 Web
projects developed by a software company, we
compare four sets of size measures, using two
prediction techniques, namely Forward Stepwise
Regression (SWR) and Case-Based Reasoning (CBR).
All the measures provided good predictions in terms of
MMRE, MdMRE, and Pred(0.25) statistics, for both
SWR and CBR. Moreover, when using SWR, Length
measures and Web Objects gave significant better
results than Functional measures, however presented
similar results to the Tukutuku measures. As for CBR,
results did not show any significant differences
amongst the four sets of size measures.
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 Additional Information
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Citation:
Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Emilia Mendes,
"Comparing Size Measures for Predicting Web Application Development Effort: A Case Study,"
esem,
pp. 324-333,
First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007),
2007
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