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  Published Paper Details:

  Paper Title

Software Reliability with Logistic Growth Model

  Authors

  R. Jeromia Muthuraj and A. Loganathan

  Keywords

Logistic Growth Model,Software Reliability, Maximum likelihood Estimation,Least square Estimation.

  Abstract


Many software reliability growth models have been proposed for measuring the growth of reliability of the software. This paperdescribes Logistic GrowthModel (LGM)to study software reliability.Software Reliability Growth Model (SRGM) is a mathematical model of how the reliability of the software improves as faults are detected and repaired. The performance of SRGM is judged by its ability to fit the software failure data.The model which is used for the analysisLogistic Software Reliability Growth Model. An approach is used to estimate the model parameters by Maximum Likelihood Estimation (MLE) and least square Estimation (LSE). To assess the performance of the considered SRGM, It’s carried out the parameter estimation on the real software failure data sets.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1704176

  Paper ID - 170639

  Page Number(s) - 1350-1355

  Pubished in - Volume 5 | Issue 4 | November 2017

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  R. Jeromia Muthuraj and A. Loganathan,   "Software Reliability with Logistic Growth Model", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 4, pp.1350-1355, November 2017, Available at :http://www.ijcrt.org/papers/IJCRT1704176.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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