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Burr Type XII Software Reliability Growth Model
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 108 - Number 16 |
| Year of Publication: 2014 |
| Authors: R.satya Prasad, K.v.murali Mohan, G.sridevi |
10.5120/18995-0452
|
R.satya Prasad, K.v.murali Mohan, G.sridevi . Burr Type XII Software Reliability Growth Model. International Journal of Computer Applications. 108, 16 ( December 2014), 16-20. DOI=10.5120/18995-0452
Abstract
Software Reliability Growth model (SRGM) is a mathematical model of how the software reliability improves as faults are detected and repaired. The development of many SRGMs over the last several decades have resulted in the improvement of software facilitating many engineers and managers in tracking and measuring the growth of reliability. This paper proposes Burr type XII based Software Reliability growth model with time domain data. The unknown parameters of the model are estimated using the maximum likelihood (ML) estimation method. Reliability of a software system using Burr type XII distribution, which is based on Non-Homogenous Poisson process (NHPP), is presented through estimation procedures. The performance of the SRGM is judged by its ability to fit the software failure data. How good does a mathematical model fit to the data is also being calculated. To access the performance of the considered SRGM, we have carried out the parameter estimation on the real software failure datasets.
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