Free Access
Issue
RAIRO-Oper. Res.
Volume 19, Number 1, 1985
Page(s) 87 - 104
DOI https://doi.org/10.1051/ro/1985190100871
Published online 06 February 2017
  • 1. L. J. BAIN, Statistical Analysis of Reliability and Life-Testing Models, Marcel Dekker, Inc., New York, 1978. [MR: 515724] [Zbl: 0419.62076] [Google Scholar]
  • 2. L. H. CROW, On Tracking Reliability Growth, Proc. 1975 Annu. Reliability and Maintainability Symp., 1975, pp. 438-443. [Google Scholar]
  • 3. J. T. DUANE, Learning Curve Approach to Reliability Monitoring, I.E.E.E. Trans. Aerosp., Vol. 2, 1964, pp. 563-566. [Google Scholar]
  • 4. A. L. GOEL, Software Error Detection Model with Applications, J. Syst. Software, Vol. 1, 1980, pp. 243-249. [Google Scholar]
  • 5. A. L. GOEL and K. OKUMOTO, Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures, I.E.E.E. Trans. Reliab., Vol. R-28, 1979, pp. 206-211. [Zbl: 0409.68009] [Google Scholar]
  • 6. Z. JELINSKI and P. B. MORANDA, Software Reliability Research, in Statistical Computer Performance Evaluation, W. FREIBERGER, Ed., Academic Press, New York, 1972, pp. 465-484. [Google Scholar]
  • 7. W. KREMER, Birth-Death and Bug Counting, I.E.E.E. Trans. Reliab., Vol R-32, 1983, pp. 37-47. [Zbl: 0511.60087] [Google Scholar]
  • 8. B. LITTLEWOOD, Theories of Software Reliability: How Good Are They and How Can They Be Improved?, I.E.E.E. Trans. Software Eng., Vol. SE-6, 1980, pp. 489-500. [Google Scholar]
  • 9. P. B. MORANDA, Event-Altered Rate Models for General Reliability Analysis, I.E.E.E. Trans. Reliab., Vol.R-28, 1979, p. 376-381. [Zbl: 0418.62081] [Google Scholar]
  • 10. J. D. MUSA, Software Reliability Measurement, J. Syst. Software, Vol. 1, 1980, p. 223-241. [Zbl: 1160.68348] [Google Scholar]
  • 11. W. NELSON, Applied Life Data Analysis, John Wiley and Sons, Inc., New York, 1982. [MR: 646615] [Zbl: 1054.62109] [Google Scholar]
  • 12. M. OHBA and M. KAJIYAMA, Inflection S-shaped Software ReiiabUity Growth Model (in Japanese), I.RS.-Japan Proc. W.G.S.E. Meeting, Vol. 28, 1983. [Google Scholar]
  • 13. C. V. RAMAMOORTHY and F. B. BASTANI, Software Reliability - Status and Perspectives, I.E.E.E. Trans. Software Eng., Vol. SE-8, 1982, p. 354-371. [Google Scholar]
  • 24. S. M. Ross, Stochastic Processes, John Wiley and Sons, Inc., New York, 1983. [MR: 683455] [Zbl: 0888.60002] [Google Scholar]
  • 15. G. J. SCHICK and R. W. WOLVERTON, An Analysis of Competing Software Reliability Models, I.E.E.E. Trans. Software Eng., Vol. SE-4, 1978, pp. 104-120. [Zbl: 0381.68036] [Google Scholar]
  • 16. J. G. SHANTHIKUMAR, A State- and Time-Dependent Error Occurrence-Rate Software Reliability Model with Imperfect Debugging, Proc. 1981 Nat. Comput. Conf., 1981, pp. 311-315. [Google Scholar]
  • 17. M. L. SHOOMAN, Software Reliability: Measurement and Models, Proc. 1975 Annu. Reliability and Maintainability Symp., 1975, pp. 485-491. [Zbl: 1160.68348] [Google Scholar]
  • 18. W. A. Jr. THOMPSON, On The Foundations of Reliability, Technometrics, Vol. 23 1981, pp. 1-13. [MR: 604905] [Zbl: 0459.60077] [Google Scholar]
  • 19. S. YAMADA and S. OSAKI, Software Reliability Growth Models and Their Comparisons (in Japanese), Trans. I.E.C.E. Japan, Vol. J65-D, 1982, pp. 906-912; also Systems. Computers. Controls, Vol. 13, 1982, pp. 42-49. [Google Scholar]
  • 20. S. YAMADA and S. OSAKI, Reliability Growth Models for Hardware and Software Systems Based on Nonhomogeneous Poisson Processes: A Survey, Microelectron. Reliab., Vol. 23, 1983, pp. 91-112. [Google Scholar]
  • 21. S. YAMADA and S. OSAKI, S-shaped Software Reliability Growth Models with Four Types of Software Error Data, Int.J. Systems Sci., Vol. 14, 1983, pp. 683-692. [Zbl: 0506.62081] [Google Scholar]

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