Research on a software reliability model based on hyper-geometric distribution 超幾何分布に基づいたソフトウェア信頼性モデルに関する研究
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Bibliographic Information
- Title
-
Research on a software reliability model based on hyper-geometric distribution
- Other Title
-
超幾何分布に基づいたソフトウェア信頼性モデルに関する研究
- Author
-
Raymond Jacoby
- Author(Another name)
-
レイモンド テオフイール ジャコビ
- University
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東京工業大学
- Types of degree
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工学博士
- Grant ID
-
甲第2295号
- Degree year
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1991-03-26
Note and Description
博士論文
Table of Contents
- 論文目録 / (0002.jp2)
- ABSTRACT / p3 (0006.jp2)
- Contents / p6 (0009.jp2)
- 1 Overview / p1 (0014.jp2)
- 1.1 Software Reliability Models:Introduction / p3 (0016.jp2)
- 1.2 Research Motivation and Aim / p4 (0017.jp2)
- 1.3 Previous Research Results for the HGDM / p4 (0017.jp2)
- 1.4 Basic Idea and Assumptions / p5 (0018.jp2)
- 1.5 Testing Environment for the HGDM / p10 (0023.jp2)
- 2 Precise Formulation / p12 (0025.jp2)
- 2.1 Precise Mathematical Formulation of the HGD Model / p12 (0025.jp2)
- 2.2 Basic Growth Curves of the HGD Model / p16 (0029.jp2)
- 2.3 Approximated Expression for the HGD Model / p17 (0030.jp2)
- 2.4 Limits for the Mean Value Function / p18 (0031.jp2)
- 3 Ease-of-Test Functions w(ί) / p20 (0033.jp2)
- 3.1 Limited Ease-of-Test Functions w(ί) / p22 (0035.jp2)
- 3.2 Bounded Ease-of-Test Functions w(ί) / p26 (0039.jp2)
- 3.3 Generic Ease-of-Test Functions w(ί) / p28 (0041.jp2)
- 3.4 Distributed Ease-of-Test Functions w(ί) / p31 (0044.jp2)
- 3.5 Calculation of Precise w(ί) Values for Real Observed Data / p34 (0047.jp2)
- 4 Parameter Value Estimation Methods / p39 (0052.jp2)
- 4.1 Optimal Parameter Value Estimation by Evaluation Functions / p39 (0052.jp2)
- 4.2 Optimal Parameter Value Estimation by Least Square / p41 (0054.jp2)
- 4.3 Optimal Parameter Value Estimation by Maximum Likelihood / p45 (0058.jp2)
- 5 Comparison of the HGDM to NHPP Models / p46 (0059.jp2)
- 5.1 Comparison to the Exponential Goel-Okumoto Growth Model / p46 (0059.jp2)
- 5.2 Comparison to the Delayed S-shaped Growth Model / p50 (0063.jp2)
- 5.3 Comparison to the Testing-Effort Model / p56 (0069.jp2)
- 5.4 Conclusion / p59 (0072.jp2)
- 6 Applicability of the HGDM / p60 (0073.jp2)
- 6.1 Applicability and Estimation Results for Data of〔GOE85〕 / p61 (0074.jp2)
- 6.2 Applicability and Estimation Results for 109 Test Instances / p70 (0083.jp2)
- 6.3 Applicability and Estimation Results for Data of〔OHB84〕 / p79 (0092.jp2)
- 6.4 Conclusion for Ease-of-Test Functions / p88 (0101.jp2)
- 6.5 Parameter Value Estimation by Least Square Method / p91 (0104.jp2)
- 7 HGDM and Elapsed Time to Fault Detection / p102 (0115.jp2)
- 7.1 Basic Idea for Elapsed Time Instances / p102 (0115.jp2)
- 7.2 Applicability of HGDM Considering Elapsed Time to Failures / p103 (0116.jp2)
- 7.3 Example of Applicability To Real Observed Data / p104 (0117.jp2)
- 7.4 Conclusion / p105 (0118.jp2)
- 8 Applicability of the HGD Model to the Service-Operational Phase / p106 (0119.jp2)
- 8.1 Service-Operational Phase Estimation / p107 (0120.jp2)
- 8.2 Estimation of Software Unavailability / p108 (0121.jp2)
- 8.3 Software Unavailability Estimation for the HGDM / p110 (0123.jp2)
- 8.4 Estimation of Software Reliability for the HGDM / p112 (0125.jp2)
- 8.5 Application to Real Observed Service-Operational Data / p114 (0127.jp2)
- 8.6 Conclusion for Estimations at Service-Operation / p126 (0139.jp2)
- 9 Summary and Future Extensions / p127 (0140.jp2)
- 9.1 Summary of Research / p127 (0140.jp2)
- 9.2 Future Research Proposals / p128 (0141.jp2)
- REFERENCES / p130 (0143.jp2)
- Appendixes / p134 (0147.jp2)
- A Maximum Likelihood Estimation / p134 (0147.jp2)
- B Algorithm to Generate Hyper-Geometric Distributed Values / p145 (0158.jp2)
- C Estimation Results for Various Real Observed Test-and-Debug Data / p152 (0165.jp2)
- CURRICULUM VITAE / p213 (0226.jp2)