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Body of Knowledge for Software Quality Measurement
February 2002 (vol. 35 no. 2)
pp. 77-83
ASCII Text
x 
 
Norman F. Schneidewind, "Body of Knowledge for Software Quality Measurement," Computer, vol. 35, no. 2, pp. 77-83, February, 2002.
 
 
BibTex
x
 
@article{ 10.1109/2.982919,
author = {Norman F. Schneidewind},
title = {Body of Knowledge for Software Quality Measurement},
journal ={Computer},
volume = {35},
number = {2},
issn = {0018-9162},
year = {2002},
pages = {77-83},
doi = {http://doi.ieeecomputersociety.org/10.1109/2.982919},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computer
TI - Body of Knowledge for Software Quality Measurement
IS - 2
SN - 0018-9162
SP77
EP83
EPD - 77-83
A1 - Norman F. Schneidewind,
PY - 2002
VL - 35
JA - Computer
ER -
 

Measuring quality is the key to developing high-quality software.The author describes two approaches that help to identify the bodyof knowledge software engineers need to achieve this goal. The first approachderives knowledge requirements from a preters also support several popular instruction sets, including Alpha, PPC, x86, and ARM.

Citation:
Norman F. Schneidewind, "Body of Knowledge for Software Quality Measurement," Computer, vol. 35, no. 2, pp. 77-83, Feb. 2002, doi:10.1109/2.982919
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