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Predicting Maintainability with Object-Oriented Metrics - An Empirical Comparison
Victoria, B.C., Canada November 13-November 17
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WCRE.2003.128724610th Working Conference on Reverse En ...
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Melis Dagpinar, Jens H. Jahnke, "Predicting Maintainability with Object-Oriented Metrics - An Empirical Comparison," Reverse Engineering, Working Conference on, pp. 155, 10th Working Conference on Reverse Engineering (WCRE 2003), 2003.
 
 
BibTex
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@article{ 10.1109/WCRE.2003.1287246,
author = {Melis Dagpinar and Jens H. Jahnke},
title = {Predicting Maintainability with Object-Oriented Metrics - An Empirical Comparison},
journal ={Reverse Engineering, Working Conference on},
volume = {0},
year = {2003},
issn = {1095-1350},
pages = {155},
doi = {http://doi.ieeecomputersociety.org/10.1109/WCRE.2003.1287246},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Reverse Engineering, Working Conference on
TI - Predicting Maintainability with Object-Oriented Metrics - An Empirical Comparison
SN - 1095-1350
SP
EP
A1 - Melis Dagpinar,
A1 - Jens H. Jahnke,
PY - 2003
KW - null
VL - 0
JA - Reverse Engineering, Working Conference on
ER -
 
Melis Dagpinar, University of Victoria, Canada B.C.
Jens H. Jahnke, University of Victoria, Canada B.C.
A large number of metrics have been proposed for measuring properties of object-oriented software such as size, inheritance, cohesion and coupling. We have been investigating which of these object-oriented metrics can be used as significant predictors for the maintainability of software. For this purpose, we have designed and conducted an empirical study based on historical data collected from the maintenance history of a medium-sized object-oriented system. Unlike most related studies, indirect coupling has also been taken into account in our work in order to evaluate its impact. Our study uses the maintenance history of two software systems as evidence base for linking software quality attributes to metrics suggested for object-oriented software. Our results indicate that size and import direct coupling metrics are significant predictors for measuring maintainability of classes while inheritance, cohesion, and indirect/export coupling measures are not.
Citation:
Melis Dagpinar, Jens H. Jahnke, "Predicting Maintainability with Object-Oriented Metrics - An Empirical Comparison," wcre, pp.155, 10th Working Conference on Reverse Engineering (WCRE 2003), 2003
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