Dr. Tadashi   Dohi
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Dr. Tadashi Dohi

Professor
Hiroshima University, Japan


Highest Degree
Ph.D. in Engineering from Hiroshima University, Japan

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Area of Interest:

Physical Science Engineering
100%
Inventory Control
62%
Decision Support Systems
90%
Computational Engineering
75%
Information Engineering
55%

Research Publications in Numbers

Books
4
Chapters
26
Articles
241
Abstracts
167

Selected Publications

  1. Saito, Y., T. Moroga and T. Dohi, 2016. Optimal software release decision based on nonparametric inference approach. J. Jpn. Ind. Manage. Assoc., 66: 396-405.
    PubMed  |  
  2. Saito, Y., T. Dohi and W.Y. Yun, 2016. Kernel-based nonparametric estimation methods for a periodic replacement problem with minimal repair. Proc. Inst. Mech. Eng. Part O J. Risk Reliab., 230: 54-66.
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  3. Saito, Y. and T. Dohi, 2016. Predicting software reliability via completely monotone nonparametric estimator with grouped data. J. Syst. Software, 117: 296-306.
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  4. Saito, Y. and T. Dohi, 2016. Another look at nonparametric estimation for trend renewal processes. J. Oper. Res. Soc. Jpn., 59: 312-333.
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  5. Rinsaka, K. and T. Dohi, 2016. Toward high assurance software systems with adaptive fault management. Software Qual. J., 24: 65-85.
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  6. Okamura, H. and T. Dohi, 2016. PH fitting algorithm and its application to reliability engineering. J. Oper. Res. Soc. Jpn., 59: 72-109.
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  7. Okamura, H. and T. Dohi, 2016. Analysis of optimal restart policies for software systems. J. Jpn. Ind. Manage. Assoc., 66: 416-425.
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  8. Momotaz, B. and T. Dohi, 2016. Estimating prediction interval of cumulative number of software faults using back propagation algorithm. Int. J. Comput. Inf. Sci., 17: 25-34.
  9. Luo, C., H. Okamura and T. Dohi, 2016. Optimal planning for open source software updates. Proc. Inst. Mech. Eng. Part O J. Risk Reliab., 230: 44-53.
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  10. Dohi, T. and H. Okamura, 2016. Dynamic software availability model with rejuvenation. J. Oper. Res. Soc. Jpn., 59: 270-290.
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  11. Zheng, J., H. Okamura and T. Dohi, 2015. Survivability Analysis of VM-Based intrusion tolerant systems. IEICE Trans. Inf. Syst., 98: 2082-2090.
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  12. Zheng, J., H. Okamura and T. Dohi, 2015. Availability importance measures for virtualized system with live migration. Appl. Math., 6: 359-372.
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  13. Yi, Z. and T. Dohi, 2015. Toward highly dependable power-aware mobile ad hoc network-survivability evaluation framework. IEEE Access, 3: 2665-2676.
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  14. Shibata, K., K. Rinsaka and T. Dohi, 2015. M-SRAT: Metrics-based software reliability assessment tool. Int. J. Performability Eng., 11: 369-379.
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  15. Saito, Y. and T. Dohi, 2015. Stochastic marksmanship contest games with random termination - survey and applications. J. Oper. Res. Soc. Jpn., 58: 223-246.
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  16. Saito, Y. and T. Dohi, 2015. Software reliability assessment via non-parametric maximum likelihood estimation. IEICE Trans. Fundam. Electron., Commun. Comput. Sci., 98: 2042-2050.
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  17. Okamura, H., Z. Yi and T. Dohi, 2015. Network survivability modeling and analysis for power-aware MANETs by Markov regenerative processes. Telecommun. Syst., 60: 471-484.
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  18. Okamura, H., S. Miyata and T. Dohi, 2015. A markov decision process approach to dynamic power management in a cluster system. IEEE Access, 3: 3039-3047.
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  19. Okamura, H., G. Jungang, L. Chao and T. Dohi, 2015. Quantifying Resiliency of Virtualized System with Software Rejuvenation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 98: 2051-2059.
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  20. Okamura, H. and T. Dohi, 2015. Phase-type software reliability model: parameter estimation algorithms with grouped data. Ann. Oper. Res., 244: 177-208.
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  21. Okamura, H. and T. Dohi, 2015. Dynamic power management with optimal time-out policies. IEEE Syst. J., .
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  22. Imanaka, T. and T. Dohi, 2015. Software reliability modeling based on burr xii distributions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 98: 2091-2095.
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  23. Xiao, X. and T. Dohi, 2014. Interval estimation method for decision making in wavelet-based software reliability assessment. IEICE Trans. Inf. Syst., 97: 1058-1068.
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  24. Xiao, X. and T. Dohi, 2014. Exponential-like software reliability models based on binomial process. Int. J. Reliab. Qual. Perform., 6: 79-87.
  25. Tokumoto, S., T. Dohi and W.Y. Yun, 2014. Bootstrap confidence interval of optimal age replacement policy. Int. J. Reliab. Qual. Saf. Eng., 21: 98-115.
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  26. Saito, Y., T. Dohi and W.Y. Yun, 2014. Uncertainty analysis for a periodic replacement problem with minimal repair: parametric bootstrapping. Int. J. Ind. Eng., 21: 337-347.
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  27. Okamura, H., R. Watanabe and T. Dohi, 2014. Variational bayes for phase-type distribution. Commun. Stat. Simul. Comput., 43: 2031-2044.
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  28. Okamura, H., K. Yamamoto and T. Dohi, 2014. Transient analysis of software rejuvenation policies in virtualized system: Phase-type expansion approach. Qual. Technol. Quant. Manage., 11: 335-351.
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  29. Luo, C., H. Okamura and T. Dohi, 2014. Performance evaluation of snapshot isolation in distributed database system under failure-prone environment. J. Supercomputing, 70: 1156-1179.
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  30. Dohi, T. and T. Dohi, 2014. Availability and performability analysis for a service degradation process with condition-based preventive maintenance II-estimation and simulation. Int. J. Strategic Eng. Asset Manage., 2: 98-115.
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  31. Dohi, T. and T. Dohi, 2014. Availability and performability analysis for a service degradation process with condition-based preventive maintenance I-formulation and optimisation. Int. J. Strategic Eng. Asset Manage. 2: 80-97.
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  32. Zhou, B., H. Okamura and T. Dohi, 2013. Enhancing performance of random testing through Markov chain Monte Carlo methods. IEEE Trans. Comput., 62: 186-192.
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  33. Xiao, X. and T. Dohi, 2013. Wavelet shrinkage estimation for non-homogeneous Poisson process based software reliability models. IEEE Trans. Reliab., 62: 211-225.
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  34. Xiao, X. and T. Dohi, 2013. On the role of weibull-type distributions in nhpp-based software reliability modeling. Int. J. Performability Eng., 9: 123-132.
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  35. Xiao, X. and T. Dohi, 2013. Estimating software intensity function based on translation-invariant Poisson smoothing approach. IEEE Trans. Reliab., 62: 930-945.
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  36. Xiao, X. and T. Dohi, 2013. A study on applying extreme value distribution to NHPP-based SRM. Inf. Int. Interdiscip. J., 16: 575-580.
  37. Xiao, X. and T. Dohi, 2013. A measurement-based approach for estimating error rate of a web server system. Int. J. Reliab. Saf., 7: 1-16.
  38. Ukimoto, S. and T. Dohi, 2013. A software cost model with reliability constraint under two operational scenarios. Int. J. Soft. Eng. Appl., 7: 427-428.
  39. Okamura, H., T. Dohi and S. Osaki, 2013. Software reliability growth models with normal failure time distributions. Reliab. Eng. Syst. Saf., 116: 135-141.
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  40. Okamura, H., T. Dohi and K.S. Trivedi, 2013. Improvement of expectation-maximization algorithm for phase-type distributions with grouped and truncated data. Appl. Stochastic Models Bus. Ind., 29: 141-156.
  41. Okamura, H., M. Tokuzane and T. Dohi, 2013. Quantitative security evaluation for software system from vulnerability database. J. Software Eng. Appl., 6: 15-23.
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  42. Okamura, H., H. Kishikawa and T. Dohi, 2013. Application of deterministic annealing EM algorithm to MAP/PH parameter estimation. Telecommun. Syst., 54: 79-90.
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  43. Okamura, H. and T. Dohi, 2013. Optimal trigger time of software rejuvenation under probabilistic opportunities. IEICE Trans. Inf. Syst., 96: 1933-1940.
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  44. Okamura, H. and T. Dohi, 2013. Dynamic software rejuvenation policies in a transaction-based system under Markovian arrival processes. Perform. Eval., 70: 197-211.
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  45. Hiroyama, S., T. Dohi and H. Okamura, 2013. Aperiodic checkpoint placement algorithms-survey and comparison. J. Software Eng. Appl., 6: 41-53.
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  46. Zhipeng, Y.I. and T. Dohi, 2012. Survivability analysis for a wireless ad hoc network based on semi-Markov model. IEICE Trans. Inf. Syst., 95: 2844-2851.
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  47. Xiao, X. and T. Dohi, 2012. Software failure time data analysis via wavelet-based approach. IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 95: 1490-1497.
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  48. Xiao, X. and T. Dohi, 2012. A comparative study of data transformations for wavelet shrinkage estimation with application to software reliability assessment. Adv. Software Eng., 2012: 1-9.
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  49. Xiao, X. and H. Okamura, 2012. NHPP-based software reliability models using equilibrium distribution. IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 95: 894-902.
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  50. Ishii, T. and T. Dohi, 2012. Two-dimensional software defect models with test execution History. J. ISRN Software Eng., 2012: 1-12.
  51. Ishii, H., T. Dohi and H. Okamura, 2012. Software reliability prediction based on least squares estimation. Qual. Technol. Quant. Manage., 9: 243-264.
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  52. Ikemoto, S. and T. Dohi, 2012. Exponential regression-based software reliability model and its computational aspect. IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 95: 1461-1468.
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  53. Dohi, T., H. Okamura and K.S. Trivedi, 2012. Comparison of software cost models with rejuvenation under two steady-state criteria. Int. J. Reliab. Qual. Perform., 3: 1-13.
  54. Dohi, T. and T. Uemura, 2012. An adaptive mode control algorithm of a scalable intrusion tolerant architecture. J. Comput. Syst. Sci., 78: 1751-1774.
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  55. Bo, Z., T. Dohi and H. Okamura, 2012. Application of markov chain monte carlo random testing to test case prioritization in regression testing. IEICE Trans. Inf. Syst., 95: 2219-2226.
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  56. Yamaguchi, Y., H. Okamura and T. Dohi, 2011. Approximate computation for posterior distribution with parameter correlation using variational Bayes. Trans. Jpn. Soc. Ind. Appl. Math., 21: 73-88.
  57. Okamura, H., T. Hirata and T. Dohi, 2011. Semi-parametric approach for software reliability evaluation using mixed gamma distributions. Int. J. Software Eng. Appl., 7: 401-414.
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  58. Okamura, H., T. Dohi and K.S. Trivedi, 2011. A refined EM algorithm for PH distributions. Perform. Eval., 68: 938-954.
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  59. Mizoguchi, S. and T. Dohi, 2011. A fine-grained algorithm for non-parametric software reliability estimation. Int. J. Software Eng. Appl., 5: 23-36.
  60. Yamaguchi, Y., H. Okamura and T. Dohi, 2010. A variational bayesian approach for estimating parameters of a mixture of erlang distribution. Commun. Stat. Theor. Methods, 39: 2333-2350.
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  61. Xiao, X. and T. Dohi, 2010. Estimating the error rate in an Apache web server system. Int. J. Software Eng. Appl., 4: 19-28.
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  62. Wang, C.H., T. Dohi and W.C. Tsai, 2010. Coordinated procurement/inspection and production model under inspection errors. Comput. Ind. Eng., 59: 473-478.
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  63. Uemura, T., T. Dohi and N. Kaio, 2010. Dependability analysis of a scalable intrusion tolerant architecture with two detection modes. J. Internet Technol., 11: 289-298.
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  64. Uemura, T., T. Dohi and N. Kaio, 2010. Availability analysis of an intrusion tolerant distributed server system with preventive maintenance. IEEE Trans. Reliab., 59: 18-29.
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  65. Uemura, T. and T. Dohi, 2010. Optimal security patch management policies maximizing system availability. J. Commun., 5: 71-80.
  66. Okamura, H. and T. Dohi, 2010. Software safety assessment based on a subordinated Markov chain. Int. J. Syst. Assur. Eng. Manage., 1: 307-315.
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  67. Okamura, H. and T. Dohi, 2010. Comprehensive evaluation of aperiodic checkpointing and rejuvenation schemes in operational software system. J. Syst. Software, 83: 1591-1604.
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  68. Okamura, H. and T. Dohi, 2010. An EM-Based scheme for record value statistics models in software reliability estimation. Int. J. Adv. Sci. Technol., 20: 43-52.
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  69. Giri, B.C. and T. Dohi, 2010. Quantifying the risk in age and block replacement policies. J. Oper. Res. Soc., 61: 1151-1158.
  70. Fujii, T. and T. Dohi, 2010. Identifying statistical failure mechanism of web server systems: measurement and reliability analysis. Int. J. Bus. Intell. Data Min., 5: 156-171.
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  71. Dohi, T., N. Shibata and N. Kaio, 2010. Analysis of two economic testing policies in discrete time. Qual. Technol. Quant. Manage., 7: 365-376.
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  72. Tateishi, K., H. Okamura and T. Dohi, 2009. Transient analysis of internet-worm propagation based on simple birth and death process. Int. J. Reliab. Qual. Perform., 1: 1-9.
  73. Sakai, Y. and K. Rinsaka, 2009. A Cyber-Attack Detection Model Based on Multivariate Analyses. IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 92: 1585-1592.
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  74. Rinsaka, K. and T. Dohi, 2009. Estimating the optimal software rejuvenation schedule with small sample data. Qual. Technol. Quant. Manage. J., 6: 55-65.
  75. Ozaki, T., T. Dohi and N. Kaio, 2009. Numerical computation algorithms for sequential checkpoint placement. Perform. Eval., 66: 311-326.
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  76. Okamura, H., T. Dohi and K.S. Trivedi, 2009. Markovian arrival process parameter estimation with group data. IEEE/ACM Trans. Networking, 17: 1326-1339.
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  77. Okamura, H. and T. Dohi, 2009. Software reliability modeling based on capture-recapture sampling. IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 92: 1615-1622.
  78. Ohishi, K., H. Okamura and T. Dohi, 2009. Gompertz software reliability model: Estimation algorithm and empirical validation. J. Syst. Software, 82: 535-543.
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  79. Giri, B.C. and T. Dohi, 2009. Cost-effective ordering policies for inventory systems with emergency order. Comput. Ind. Eng., 57: 1336-1341.
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  80. Uemura, T. and T. Dohi, 2008. Cost-effectiveness analysis of intrusion tolerant system subject to DoS attack. Trans. Inst. Electron. Inf. Commun. Eng., 91: 223-232.
  81. Okamura, H. and T. Dohi, 2008. Software reliability modeling based on mixed Poisson distributions. Int. J. Reliab. Qual. Saf. Eng., 15: 19-23.
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  82. Iwamoto, K., T. Dohi and N. Kaio, 2008. Discrete repair-cost limit replacement policies with/without imperfect repair. Asia Pac. J. Oper. Res., 25: 735-751.
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  83. Iwamoto, K. and K.A.I.O. Naoto, 2008. Estimating periodic software rejuvenation schedules under discrete-time operation circumstance. IEICE Trans. Inf. Syst., 91: 23-31.
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  84. Ishii, T., T. Fujiwara and T. Dohi, 2008. Bivariate extension of software reliability modeling with number of test cases. Int. J. Reliab. Qual. Saf. Eng., 15: 1-17.
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  85. Giri, B.C. and T. Dohi, 2008. Determining EMQ for an unreliable manufacturing system in discrete time setting. Int. J. Oper. Res., 3: 557-574.
  86. Shibata, K., K. Rinsaka and T. Dohi, 2007. Dynamic software reliability modeling with discrete-test metrics: How good is it? Int. J. Ind. Eng. Theor. Appl. Pract., 14: 332-339.
  87. Giri, B.C. and T. Dohi, 2007. Inspection scheduling for imperfect production processes under free repair warranty contract. Eur. J. Oper. Res., 183: 238-252.
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  88. Dohi, T., N. Kaio and S. Osaki, 2007. Optimal (T, S)-policies in a discrete-time opportunity-based age replacement: an empirical study. Int. J. Ind. Eng., 14: 340-347.
  89. Dohi, T., N. Kaio and S. Osaki, 2007. Estimating cost-effective checking request policies. Qual. Technol. Quant. Manage., 4: 157-167.
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  90. Rinsaka, K. and T. Dohi, 2006. Optimal testing/maintenance design in a software development project. Electron. Commun. Japan Part III Fundam. Electron. Sci., 89: 1-9.
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  91. Ozaki, T., T. Dohi, H. Okamura and N. Kaio, 2006. Distribution-free checkpoint placement algorithms based on min-max principle. IEEE Trans. Dependable Secure Comput., 3: 130-140.
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  92. Okamura, H., S. Miyauchi and T. Dohi, 2006. A web page ranking algorithm based on a markov decision process. Ieice Transitions Inf. Syst., 89: 210-219.
  93. Okamura, H., K. Tateishi and T. Dohi, 2006. Statistical models for propagation of computer virus based on non-homogeneous Poisson processes. Trans. Inst. Electron. Inf. Commun. Eng., 89: 1729-1738.
  94. Okamura, H., K. Iwamoto and T. Dohi, 2006. A dynamic programming algorithm for software rejuvenation scheduling under distributed computation circumstance. J. Comput. Sci., 2: 505-512.
  95. Okamura, H., K. Iwamoto and T. Dohi, 2006. A DP-based checkpointing scheme in real-time applications. Int. J. Reliab. Qual. Saf. Eng., 13: 323-340.
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  96. Okamura, H., H. Furumura and T. Dohi, 2006. Parameter estimation for trend-curve-based software reliability models. Trans. Inf. Process. Soc. Japan, 47: 897-905.
  97. Iwamoto, K., T. Dohi, H. Okamura and N. Kaio, 2006. Discrete-time cost analysis for a telecommunication billing application with rejuvenation. Comput. Math. Applic., 51: 335-344.
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  98. Iwamoto, K., T. Dohi and N. Kaio, 2006. Estimating discrete-time periodic software rejuvenation schedules under cost effectiveness criterion. Int. J. Reliab. Qual. Saf. Eng., 13: 565-579.
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  99. Ishii, T. and T. Dohi, 2006. Testing-effort dependent software reliability models based on two-dimensional NHPPs. Trans. Inst. Electron. Inf. Commun. Eng., 89: 1684-1694.
  100. Giri, B.C., T. Dohi and N. Kaio, 2006. Discrete-time spare ordering policy with randomized lead times and discounting. Int. Trans. Oper. Res., 13: 561-576.
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  101. Giri, B.C. and T. Dohi, 2006. Optimal lot sizing policy for an unreliable manufacturing system under cost-effectiveness criterion. Asia Pac. Manage. Rev., 11: 187-193.
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  102. Giri, B.C. and T. Dohi, 2006. Optimal inspection schedule in an imperfect EMQ model with free repair warranty policy. J. Oper. Res. Soc. Jpn., 49: 222-237.
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  103. Giri, B.C. and T. Dohi, 2006. Cost-effective production policy for a stochastic unreliable manufacturing system. IMA J. Manage. Math., 17: 209-223.
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  104. Eto, H. and T. Dohi, 2006. Determining the optimal software rejuvenation schedule via semi-markov decision process. J. Comput. Sci., 2: 528-534.
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  105. Dohi, T., T. Danjou and N. Kaio, 2006. Determining the optimal delivery schedule of spare units via NPV approach. Asia Pac. Manage. Rev., 11: 205-212.
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  106. Dohi, T., H. Suzuki and S. Osaki, 2006. Transient cost analysis of non-Markovian software systems with rejuvenation. Int. J. Performability Eng., 2: 233-243.
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  107. Dohi, T., A. Ashioka, N. Kaio and S. Osaki, 2006. Statistical estimation algorithms for repairs-time limit replacement scheduling under earning rate criteria. Comput. Math. Applic., 51: 345-356.
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  108. Rinsaka, K. and T. Dohi, 2005. Determining the discrete warranty period in a software development project. Asian Pac. Manage. Rev. J., 10: 225-232.
  109. Rinsaka, K. and T. Dohi, 2005. Determination of optimal warranty period in a software development project. Int. J. Qual. Reliab. Manage., 22: 715-730.
  110. Rinsaka, K. and T. Dohi, 2005. Behavioral analysis of a fault-tolerant software system with rejuvenation. Ieice Trans. Inf. Syst., 88: 2681-2690.
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  111. Okamura, H., S. Miyahara and T. Dohi, 2005. Rejuvenating communication network system under burst arrival circumstances. Ieice Trans. Commun., 88: 4498-4506.
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  112. Okamura, H., M. Ando and T. Dohi, 2005. Development of a software reliability assessment tool on spreadsheet software (SRATS). Ieice Trans. Inf. Syst. DI, 88: 205-214.
  113. Okamura, H., A. Murayama and T. Dohi, 2005. A unified parameter estimation algorithm for discrete software reliability models. Opsearch, 42: 355-377.
  114. Giri, B.C., W.Y. Yun and T. Dohi, 2005. Optimal lot sizing in an unreliable two-stage serial production/inventory system. Int. Trans. Oper. Res., 12: 63-82.
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  115. Giri, B.C., W.Y. Yun and T. Dohi, 2005. Optimal design of unreliable production-inventory systems with variable production rate. Eur. J. Oper. Res., 162: 372-386.
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  116. Giri, B.C., T. Dohi and N. Kaio, 2005. Discrete-time spare ordering policy with lead time and discounting. J. Qual. Maint. Eng., 11: 191-205.
  117. Giri, B.C. and T. Dohi, 2005. Exact formulation of stochastic EMQ model for an unreliable production system. J. Oper. Res. Soc., 56: 563-575.
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  118. Giri, B.C. and T. Dohi, 2005. Computational aspects of an extended EMQ model with variable production rate. Comput. Oper. Res., 32: 3143-3161.
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  119. Okamura, H., S. Kuroki, T. Dohi and S. Osaki, 2004. A reliability growth model for modular software. Electron. Commun. Japan Part II Electron., 87: 43-53.
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  120. Okamura, H., M. Ando and T. Dohi, 2004. Generalized-gamma software reliability model. Trans. Inst. Electron. Inf. Commun. Eng., 87: 805-814.
  121. Kobayashi, N., H. Okamura and T. Dohi, 2004. Characteristic analysis of computer viruses by stochastic models. Trans. Inf. Process. Soc. Japan, 45: 1432-1441.
  122. Ito, M., H. Okamura and T. Dohi, 2004. Software safety assessment based on a subordinated Markov chain model. Electron. Commun. Japan Part III Fundam. Electron. Sci., 87: 24-32.
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  123. Giri, B.C. and T. Dohi, 2004. Optimal lot sizing for an unreliable production system based on net present value approach. Int. J. Prod. Econ., 92: 157-167.
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  124. Dohi, T., K. Iwamoto, N. Kaio and S. Osaki, 2004. A generalized discrete-time order replacement model. IMA J. Manage. Math., 15: 125-138.
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  125. Dohi, T., K. Iwamoto, H. Okamura and N. Kaio, 2004. Estimation of discrete-time software rejuvenation schedule based on the cost-effectiveness. Electron. Commun. Japan Part III Fundam. Electron. Sci., 87: 23-31.
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  126. Dohi, T., H. Suzuki and K.S. Trivedi, 2004. Comparing software rejuvenation policies under different dependability measures. Ieice Trans. Inf. Syst., 87: 2078-2085.
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  127. Dohi, T., A. Ashioka, N. Kaio and S. Osaki, 2004. A simulation study on the discounted cost distribution under age replacement policy. Ind. Eng. Manage. Syst., 3: 134-139.
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  128. Danjou, T., T. Dohi, N. Kaio and S. Osaki, 2004. Analysis of periodic software rejuvenation policy based on net present value approach. Int. J. Reliab. Qual. Saf. Eng., 11: 313-327.
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  129. Okamura, H., Y. Watanabe, T. Dohi and S. Osaki, 2003. An estimation of software reliability models based on EM algorithm. Electron. Commun. Japan Part III Fundam. Electron. Sci., 86: 29-37.
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  130. Okamura, H., T. Ishikura and T. Dohi, 2003. An optimal control of auto-sleep systems based on the Q-learning. Trans. Soc. Instrum. Control Eng., 39: 590-599.
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  131. Okamura, H., T. Dohi and S. Osaki, 2003. Phase type approximation for optimal auto-sleep scheduling. Math. Comput. Modell., 38: 1391-1398.
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  132. Okamura, H., T. Dohi and S. Osaki, 2003. A structural approximation method to generate the optimal auto-sleep schedule for computer systems. Comput. Math. Applic., 46: 1103-1110.
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  133. Okamura, H., S. Miyahara and T. Dohi, 2003. Dependability analysis of a transaction-based multi-server system with rejuvenation. Ieice Trans. Fundam. Electron. Commun. Comput. Sci., 86: 2081-2090.
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  134. Okamura, H., K. Kitasuka and T. Dohi, 2003. Performance evaluation of genetic algorithms based on markovian analysis. Trans. Inst. Syst. Control Inf. Eng., 16: 303-312.
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  135. Nishio, Y. and T. Dohi, 2003. Determination of the optimal software release time based on proportional hazards software reliability growth models. J. Qual. Maint. Eng., 9: 48-65.
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  136. Kim, J.W., W.Y. Yun and T. Dohi, 2003. Estimating the mixture of proportional hazards model with incomplete failure data. J. Qual. Maint. Eng., 9: 265-278.
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  137. Fujio, H., H. Okamura and T. Dohi, 2003. Fine-grained shock models to rejuvenate software systems. Ieice Trans. Inf. Syst., 86: 2165-2171.
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  138. Dohi, T., N. Kaio and S. Osaki, 2003. Determination of cost-effective preventive maintenance schedule for a telecommunication software system. Electron. Commun. Japan Part III Fundam. Electron. Sci., 86: 41-50.
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  139. Dohi, T., N. Kaio and S. Osaki, 2003. A new graphical method to estimate the optimal repair-time limit with incomplete repair and discounting. Comput. Math. Applic., 46: 999-1007.
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  140. Dohi, T., K. Yasui and S. Osaki, 2003. Software reliability assessment models based on cumulative bernoulli trial processes. Math. Comput. Modell., 38: 1177-1184.
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  141. Dohi, T., K. Iwamoto, H. Okamura and K. Naoto, 2003. Discrete availability models to rejuvenate a telecommunication billing application. Ieice Trans. Commun., 86: 2931-2939.
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  142. Dohi, T., A. Ashioka, N. Kaio and S. Osaki, 2003. The optimal repair-time limit replacement policy with imperfect repair: Lorenz transform approach. Math. Comput. Modell., 38: 1169-1176.
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  143. Suzuki, H., T. Dohi and H. Okamura, 2002. Cost-effective analysis of periodic software rejuvenation policies for a telecommunication billing application. Ieice Trans. Fundam. Electron. Commun. Comput. Sci., 85: 2923-2932.
  144. Okamura, H., S. Miyahara and T. Dohi, 2002. Refined non-homogeneous markovian models for a single-server type of software system with rejuvenation. Rairo-Oper. Res., 36: 129-148.
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  145. Konoshita, N., T. Dohi and S. Osaki, 2002. Non-parametric estimation of a renewal function using an artificial neural network: Application of direct Rieman-Stieltzes integration method. Trans. Inst. Syst. Control Inf. Eng., 15: 184-193.
  146. Dohi, T., T. Matsuoka and S. Osaki, 2002. An infinite server queuing model for assessment of the software reliability. Electron. Commun. Japan Part III Fundam. Electron. Sci., 85: 43-51.
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  147. Okamura, H., T. Dohi and S. Osaki, 2001. A reliability assessment method for software products in operational phase: Proposal of an accelerated life testing model. Electron. Commun. Japan Part III Fundam. Electron. Sci., 84: 25-33.
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  148. Okamura, H., S. Miyahara, T. Dohi and S. Osaki, 2001. Performance evaluation of workload-based software rejuvenation scheme. Ieice Trans. Inf. Syst., 84: 1368-1375.
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  149. Dohi, T., N. Kaio and S. Osaki, 2001. Optimal periodic maintenance strategy under an intermittently used environment. IIE Trans., 33: 1037-1046.
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  150. Dohi, T., N. Kaio and S. Osaki, 2001. Determination of optimal repair-cost limit on the Lorenz curve. J. Oper. Res. Soc. Japan, 44: 207-219.
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  151. Dohi, T., K. Goseva-Popstojanova and K. Trivedi, 2001. Estimating software rejuvenation schedules in high-assurance systems. Comput. J., 44: 473-485.
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  152. Dohi, T., H. Okamura and S. Osaki, 2001. Optimal control of preventive maintenance schedule and safety stocks in an unreliable manufacturing environment. Int. J. Prod. Econ., 74: 147-155.
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  153. Dohi, T., H. Morishita and S. Osaki, 2001. A statistical estimation method of optimal software release timing applying auto-regressive models. Ieice Trans. Fundam. Electron. Commun. Comput. Sci., 84: 331-338.
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  154. Dohi, T., F.S. Othman, N. Kaio and S. Osaki, 2001. The lorenz transform approach to the optimal repair-cost limit remplacement policy with imperfect repair. Rairo-Oper. Res., 35: 21-36.
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  155. Dohi, T., A. Ashioka, S. Osaki and N. Kaio, 2001. Optimizing the repair-time limit replacement schedule with discounting and imperfect repair. J. Qual. Maint. Eng., 7: 71-84.
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  156. Okamura, H., T. Dohi and S. Osaki, 2000. Optimal policies for a controlled queueing system with removable server under a random vacation circumstance. Comput. Math. Applic., 39: 215-227.
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  157. Okamura, H., T. Dohi and S. Osaki, 2000. A power-effective design of auto-sleep mode for computer hard disks. Trans. Soc. Instrum. Control Eng., 36: 108-115.
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  158. Nagai, S., T. Dohi and S. Osaki, 2000. The nonparametric estimation of the renewal function applying the radial basis function neural network. Trans. Japan Soc. Ind. Appl. Math., 10: 227-240.
  159. Dohi, T., Y. Yatsunami, Y. Nishio and S. Osaki, 2000. The effective smoothing technique to estimate the optimal software release schedule based on artificial neural network. Ieice Trans. Fundam. Electron. Commun. Comput. Sci., 83: 796-803.
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  160. Dohi, T., Y. Teraoka and S. Osaki, 2000. Software release games. J. Optim. Theory Applic., 105: 325-346.
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  161. Dohi, T., N. Kaio and S. Osaki, 2000. The optimal age-dependent checkpoint strategy for a stochastic system subject to general failure mode. J. Math. Anal. Applic., 249: 80-94.
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  162. Dohi, T., N. Kaio and S. Osaki, 2000. A graphical method to repair-cost limit replacement policies with imperfect repair. Math. Comput. Modell., 31: 99-106.
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  163. Dohi, T., K. Takeita and S. Osaki, 2000. Graphical methods for determining/estimating optimal repair-limit replacement policies. Int. J. Reliab. Qual. Saf. Eng., 7: 43-60.
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  164. Dohi, T., K. Nomura, K. Naoto and S. Osaki, 2000. A simulation study to analyze unreliable file systems with checkpointing and rollback recovery. Ieice Trans. Fundam. Electron. Commun. Comput. Sci., 83: 804-811.
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