A Model for Reliability Estimation Using Inter Failures Time Data

Authors

  • ThirumalaiSelvi R Computer Science, Govt. Arts College for Men, Nandanam, Chennai, India
  • Gayathry G Computer Science, Bharathiar University, Coimbatore, India

DOI:

https://doi.org/10.26438/ijcse/v6i8.875877

Keywords:

Non-Homogeneous Poisson, Process, Failure Rate, Parameter Estimation

Abstract

Software reliability models is the best choice to monitor reliability of software process. These methods aid the software development team to identify the necessary actions that are carried out during software failure process. The present work attempts to develop a new model to check the software reliability by incorporating the failure rate of both hardware as well as software. The proposed new model based on time between failures observation, which is based on Non-Homogeneous Poisson Process (NHPP). Maximum Likelihood Estimation (MLE) method applied to determine the unknown parameters of the model

References

[1] Alan Wood, “Software Reliability Growth Models”, In 1996.

[2] D.Swamydoss, Dr.Kadhar Nawaz “Enhanced Version of Growth Model in Web Based Software Reliability Engineering” in JGRCS Vol.2,No.12,Dec.2011.

[3] Kimura, M., Yamada, S., Osaki, S., 1995.” Statistical Software reliability prediction and its applicability based on mean time between failures”. Mathematical and Computer Modelling, Volume 22, Issues 10-12, Pages 149-155.

[4] R. Satya Prasad, K. R. H. Rao and R. R. L Kantha, “Software Reliability Measuring using Modified Maximum Likelihood Estimation and SPC”, International Journal of Computer Applications (0975–8887), vol. 21, no. 7, (2011) May, pp. 1-5.

[5] G.Gayathry, R.Thirumalai Selvi, “A New Reliability Growth Model to Estimate the Quality of Software” in IJET ,Volume 4,Issue 3,Pages 312-314, May 2018

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Published

2025-11-15
CITATION
DOI: 10.26438/ijcse/v6i8.875877
Published: 2025-11-15

How to Cite

[1]
R. ThirumalaiSelvi and G. Gayathry, “A Model for Reliability Estimation Using Inter Failures Time Data”, Int. J. Comp. Sci. Eng., vol. 6, no. 8, pp. 875–877, Nov. 2025.

Issue

Vol. 6 No. 8 (2018): IJCSE August Edition

Section

Research Article

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