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.
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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.
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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