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New Ways to Get Accurate Reliability Measures
July/August 1992 (vol. 9 no. 4)
pp. 34-42
ASCII Text
x 
 
Sarah Brocklehurst, Bev Littlewood, "New Ways to Get Accurate Reliability Measures," IEEE Software, vol. 9, no. 4, pp. 34-42, July/August, 1992.
 
 
BibTex
x
 
@article{ 10.1109/52.143100,
author = {Sarah Brocklehurst and Bev Littlewood},
title = {New Ways to Get Accurate Reliability Measures},
journal ={IEEE Software},
volume = {9},
number = {4},
issn = {0740-7459},
year = {1992},
pages = {34-42},
doi = {http://doi.ieeecomputersociety.org/10.1109/52.143100},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Software
TI - New Ways to Get Accurate Reliability Measures
IS - 4
SN - 0740-7459
SP34
EP42
EPD - 34-42
A1 - Sarah Brocklehurst,
A1 - Bev Littlewood,
PY - 1992
KW - reliability measures; prediction accuracy; predictive power; software reliability model; u-plot technique; recalibration; perpetual likelihood ratio; data source; real failure data; software reliability
VL - 9
JA - IEEE Software
ER -
 

Two techniques that analyze prediction accuracy and enhance predictive power of a software reliability model are presented. The u-plot technique detects systematic differences between predicted and observed failure behavior, allowing the recalibration of a software reliability model to obtain more accurate predictions. The perpetual likelihood ratio (PLR) technique compares two models' abilities to predict a particular data source so that the one that has been most accurate over a sequence of predictions can be selected. The application of these techniques is illustrated using three sets of real failure data.

Index Terms:
reliability measures; prediction accuracy; predictive power; software reliability model; u-plot technique; recalibration; perpetual likelihood ratio; data source; real failure data; software reliability
Citation:
Sarah Brocklehurst, Bev Littlewood, "New Ways to Get Accurate Reliability Measures," IEEE Software, vol. 9, no. 4, pp. 34-42, July-Aug. 1992, doi:10.1109/52.143100
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