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Parameter Estimation and Prediction for NHPP Software Reliability Model and Time Series Regression in Software Failure Data

  • Song, Kwang-Yoon (Department of computer science and statistics, Chosun University) ;
  • Chang, In-Hong (Department of computer science and statistics, Chosun University)
  • 투고 : 2014.02.16
  • 심사 : 2014.03.25
  • 발행 : 2014.03.30

초록

We consider the mean value function for NHPP software reliability model and time series regression model in software failure data. We estimate parameters for the proposed models from two data sets. The values of SSE and MSE is presented from two data sets. We compare the predicted number of faults with the actual two data sets using the mean value function and regression curve.

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참고문헌

  1. A. L. Goel and K. Okumoto, "Time dependent error detection rate model for software reliability and other performance measures," IEEE T. Reliab., Vol. R-28, pp. 206-211, 1979. https://doi.org/10.1109/TR.1979.5220566
  2. S. Yamada and S. Osaki, "Software reliability growth modeling: Models and applications", IEEE T. Software Eng., Vol. 11, pp. 1431-1437, 1985.
  3. H. Pham and X. Zhang, "An NHPP software reliability models and its comparison", Int. J. Rel. Qual. Saf. Eng., Vol. 4, pp. 269-282, 1997. https://doi.org/10.1142/S0218539397000199
  4. H. Pham and X. Zhang, "A software cost model with warranty and risk costs", IEEE T. Comput., Vol. 48, pp. 71-75. 1999. https://doi.org/10.1109/12.743412
  5. H. Pham, "An imperfect-debugging fault-detection dependent-parameter software", International Journal of Automation and Computing, Vol. 4, pp. 325-328, 2007. https://doi.org/10.1007/s11633-007-0325-8
  6. R. P. Grag, K. Sharma, R. Kumar, and R. K. Grag, "Performance analysis of software reliability models using matrix method", World Academy of Science, Engineering and Technology, Vol. 47, pp. 31-38, 2010.
  7. P. K. Kapur and H. Pham, "A unified approach for developing software reliability growth models in th presence of imperfect debugging and error generation", IEEE T. Reliab., Vol. 60, pp. 331-340, 2011. https://doi.org/10.1109/TR.2010.2103590
  8. S. Yamada, M. Ohba, and S. Osaki, "S-shaped reliability growth modeling for software fault detection", IEEE T. Reliab., Vol. 32, pp. 475-484, 1983.
  9. M. Ohba, "Software reliability analysis models", IBM J. Res. Dev., Vol. 28, pp. 428-443, 1984. https://doi.org/10.1147/rd.284.0428
  10. P. K. Kapur and R. B. Garg, "A software reliability growth model for an error removal phenomenon", Software Engineering Journal, Vol. 7, pp. 291-294, 1992. https://doi.org/10.1049/sej.1992.0030
  11. P. K. Kapur, R. B. Garg, and S. Kumar, "Contributions to hardware and software reliability", World Scientific Publishing Co. Ltd., Singapore, 1999.
  12. H. Pham, "System software reliability", Springer, Berlin, 2006.
  13. A. Wood, "Predicting software reliability", IEEE Computer, Vol. 11, pp. 69-77, 1996.
  14. H. Pham, "Software reliability", Springer-Verlag, New Jersey, 2000.
  15. Z. Jelinski and P. B. Moranda, "Software reliability research", Statistical computer performance evaluation, W. Freiberger Ed., Academic Press, New York, pp. 465-497, 1972.
  16. H. Pham, "Software reliability assessment: imperfect debugging and multiple failure types in software development", EGandG-RAAM-10737, Idaho National Engineering Laboratory, 1993.
  17. H. Pham, L. Nordmann, and X. Zhang, "A general imperfect software debugging model with S-shaped fault detection rate", IEEE T. Reliab., Vol. 48, pp. 169-175, 1999. https://doi.org/10.1109/24.784276
  18. S. Yamada, K. Tokuno, and S. Osaki, S, "Imperfect debugging models with fault introduction rate for software reliability assessment", Int. J. Syst. Sci., Vol. 23, pp. 2253-2264, 1992. https://doi.org/10.1080/00207729208949453
  19. W. Ehrlich, B. Prasanna, J. Stampfel, and J. Wu, "Determining the cost of a stop-testing decision", IEEE Software, Vol, 10, pp. 33-42, 1993. https://doi.org/10.1109/52.199726

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