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OO Metrics in Practice
November/December 2005 (vol. 22 no. 6)
pp. 17-19
ASCII Text
x 
 
David P. Darcy, Chris F. Kemerer, "OO Metrics in Practice," IEEE Software, vol. 22, no. 6, pp. 17-19, November/December, 2005.
 
 
BibTex
x
 
@article{ 10.1109/MS.2005.160,
author = {David P. Darcy and Chris F. Kemerer},
title = {OO Metrics in Practice},
journal ={IEEE Software},
volume = {22},
number = {6},
issn = {0740-7459},
year = {2005},
pages = {17-19},
doi = {http://doi.ieeecomputersociety.org/10.1109/MS.2005.160},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Software
TI - OO Metrics in Practice
IS - 6
SN - 0740-7459
SP17
EP19
EPD - 17-19
A1 - David P. Darcy,
A1 - Chris F. Kemerer,
PY - 2005
KW - object-oriented metrics
KW - OO metrics
KW - software process improvement
VL - 22
JA - IEEE Software
ER -
 
David P. Darcy, University of Maryland
Chris F. Kemerer, University of Pittsburgh
A variety of studies have documented relationships between OO metrics and managerial-performance variables including effort, reusability, defects and faults, maintainability, and cost savings. Researchers and practitioners around the world have used the authors' metrics suite and its variants in diverse OO software settings. This article discusses some of these uses and what we can learn from them. It also provides a list of commercial tools for automatically collecting some or all of these metrics.
Index Terms:
object-oriented metrics, OO metrics, software process improvement
Citation:
David P. Darcy, Chris F. Kemerer, "OO Metrics in Practice," IEEE Software, vol. 22, no. 6, pp. 17-19, Nov./Dec. 2005, doi:10.1109/MS.2005.160
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