TY  - JOUR
T1  - A Comparative Study on Reliability Attributes of Software Reliability Model
Dependent on Minimax and Lomax Lifetime Distribution
AU - Kim, Hee-Cheul 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 24
SP  - 9677
EP  - 9681
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.9677.9681
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.9677.9681
KW  - Minimax-distribution
KW  -Mean squared error
KW  -mission time
KW  -Lomax-distribution
KW  -NHPP
KW  -box plot
AB  - In this study was applied the lifetime distribution which the Lomax distribution with heavy-tail
probability and the Minimax distribution which the special form of the beta distribution follow. Using this
lifetime distribution, reliability model based on the non-homogeneous Poisson process was analyzed. As a
result, the mean squared error, mean value function and intensity function in order to recognize the failure type
for software reliability were estimated. The results of this study show that the mean squared error of the Lomax
Model is smaller than that of the Minimax distribution model and the mean value function trend is smaller in
terms of the true value. Therefore, the Lomax distribution Model can be regarded as an efficient model than the
Minimax distribution Model. In the form of the reliability function, it gradually appears as a non-incremental
pattern as the mission time elapses and the Lomax distribution Model is higher than the Minimax distribution
model. Through this study, software operators will be able to use the mean square error, the mean value and
the change in the intensity function to identify the type of failure in software reliability that reflects the
characteristics of various lifetime distributions.
ER  -