Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
권호 표지
DOI QR코드

DOI QR Code

A Comparative Study on Software Reliability Model for NHPP Intensity Function Following a Decreasing Pattern

강도함수가 감소패턴을 따르는 NHPP 소프트웨어 신뢰모형에 관한 비교 연구

  • Kim, Hee Cheul (Dept. of Industrial & Management Engineering, Namseoul University) ;
  • Kim, Jong Buam (Dept. of Academic Cooperation Foundation, Namseoul University) ;
  • Moon, Song Chul (Department of Computer Science, Namseoul University)
  • Received : 2016.10.04
  • Accepted : 2016.12.30
  • Published : 2016.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Software reliability in the software development process is an important issue. In infinite failure non-homogeneous Poisson process software reliability models, the failure occurrence rates per fault. can be presented constant, monotonic increasing or monotonic decreasing pattern. In this paper, the reliability software cost model considering decreasing intensity function was studied in the software product testing process. The decreasing intensity function that can be widely used in the field of reliability using power law process, log-linear processes and Musal-Okumoto process were studied and the parameter estimation method was used for maximum likelihood estimation. In this paper, from the software model analysis, we was compared by applying a software failure interval failure data considering the decreasing intensity function The decreasing intensity function model is also efficient in terms of reliability in the arena of the conservative model can be used as an alternating model can be established. From this paper, the software developers have to consider life distribution by preceding information of the software to classify failure modes which can be gifted to support.

Keywords

References

  1. Gokhale, S. S. and Trivedi, K. S. A, "The time/structure based software reliability model", Annals of Software Engineering, Vol. 8, No. 1, 1999, pp. 85-121. https://doi.org/10.1023/A:1018923329647
  2. Goel, A. L. and Okumoto, K., "Time-dependent fault detection rate model for software and other performance measures", IEEE Transactions on Reliability, Vol. 28, No. 3, 1978, pp. 206-211.
  3. Huang, C.-Y., "Performance analysis of software reliability growth models with testing- effort and change-point", Journal of Systems and Software, Vol. 76, No. 2, 2005, pp. 181-194. https://doi.org/10.1016/j.jss.2004.04.024
  4. Kuei-Chen, C., Yeu-Shiang, H., and Tzai-Zang, L., "A study of software reliability growth from the perspective of learning effects", Reliability Engineering and System Safety, Vol. 93, No. 10, 2008, pp. 1410-1421. https://doi.org/10.1016/j.ress.2007.11.004
  5. Kim, H.-C., "The Property of Learning effect based on Delayed Software S-Shaped Reliability Model using Finite NHPP Software Cost Model", Indian Journal of Science and Technology, Vol. 8, No. 34, 2015, pp. 1-7.
  6. Yoo, T.-H., "The Infinite NHPP Software Reliability Model based on Monotonic Intensity Function", Indian Journal of Science and Technology, Vol. 8, No. 14, 2015, pp. 1-7.
  7. Guida, M., Poli, P., and Pulcini, G., "Reliability analysis and prediction of the failure process of some traction converters", WIT Transactions on The Built Environment, Vol. 135, 2014, pp. 279-290.
  8. Chen, Z., "Empirical Bayes Analysis on the Power Law Process with Natural Conjugate Priors", Journal of Data Science, Vol. 8, 2010, pp. 139-149.
  9. Sylwia, K. B., "Makeham's Generalized Distribution", Computational Methods in Science and Technology, Vol. 13, No. 2, 2007, pp. 113-120. https://doi.org/10.12921/cmst.2007.13.02.113-120
  10. Kanoun, K. and Laprie, J. C., "Handbook of Software Reliability Engineering", R. Lyu, Editor, chapter Trend Analysis, McGraw-Hill New York, NY, 1996, pp. 401-437.
  11. Kim, H.-C., "A Performance Analysis of Software Reliability Model using Lomax and Gompertz Distribution Property", Indian Journal of Science and Technology, Vol. 9, No. 20, 2016, pp. 1-6.
  12. Yang, T.-J., "The Comparative Study of NHPP Software Reliability Model Based on Log and Exponential Power Intensity Function", The Journal of Korea Institute of Information, Electronics, and Communication Technology, Vol. 8, No. 6, 2015, pp. 445-452. https://doi.org/10.17661/jkiiect.2015.8.6.445