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An Analysis of Software Correctness Prediction Methods
Hong Kong December 10-December 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/APAQS.2001.989999Second Asia-Pacific Conference on Qua ...
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P. Kokol, V. Podgorelec, M. Zorman, M. Sprogar, M. Pighin, "An Analysis of Software Correctness Prediction Methods," Asia-Pacific Conference on Quality Software, pp. 0033, Second Asia-Pacific Conference on Quality Software (APAQS'01), 2001.
 
 
BibTex
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@article{ 10.1109/APAQS.2001.989999,
author = {P. Kokol and V. Podgorelec and M. Zorman and M. Sprogar and M. Pighin},
title = {An Analysis of Software Correctness Prediction Methods},
journal ={Asia-Pacific Conference on Quality Software},
volume = {0},
year = {2001},
isbn = {0-7695-1287-9},
pages = {0033},
doi = {http://doi.ieeecomputersociety.org/10.1109/APAQS.2001.989999},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Asia-Pacific Conference on Quality Software
TI - An Analysis of Software Correctness Prediction Methods
SN - 0-7695-1287-9
SP
EP
A1 - P. Kokol,
A1 - V. Podgorelec,
A1 - M. Zorman,
A1 - M. Sprogar,
A1 - M. Pighin,
PY - 2001
VL - 0
JA - Asia-Pacific Conference on Quality Software
ER -
 
P. Kokol, University of Maribor, Slovenia
V. Podgorelec, University of Maribor, Slovenia
M. Zorman, University of Maribor, Slovenia
M. Sprogar, University of Maribor, Slovenia
M. Pighin, University of Maribor, Slovenia
Reliability is one of the most important aspects of software systems of any kind. Software development is a complex and complicated process in whi h software faults are inserted into the code by mistakes during the development process or maintenance. It has been shown that the pattern of the faults insertion phenomena is related to measurable attributes of the software. In the paper we will introduce some methods for reliability prediction based on software metrics, present the results of using these methods in the particular industrial software environment for which we have a large database of modules in C language. Finally we will compare the results and methods and give some directions and ideas for future work.
Citation:
P. Kokol, V. Podgorelec, M. Zorman, M. Sprogar, M. Pighin, "An Analysis of Software Correctness Prediction Methods," apaqs, pp.0033, Second Asia-Pacific Conference on Quality Software (APAQS'01), 2001
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