Modeling and analysis of metrics databases ソフトウェアメトリックデータベースのモデリングと解析

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Author

    • Paul, Raymond A ポール, レーモンド

Bibliographic Information

Title

Modeling and analysis of metrics databases

Other Title

ソフトウェアメトリックデータベースのモデリングと解析

Author

Paul, Raymond A

Author(Another name)

ポール, レーモンド

University

筑波大学

Types of degree

博士 (工学)

Grant ID

乙第1514号

Degree year

1999-03-25

Note and Description

博士論文

The main objective of this research is to propose a comprehensive framework for quality and risk management in software development process based on analysis and modeling of software metrics data. Existing software metrics work has focused mainly on the type of metrics tobe collected ...

1998

Table of Contents

  1. ABSTRACT / (0004.jp2)
  2. Contents / (0007.jp2)
  3. Chapter 1:Introduction / 1-1 / (0018.jp2)
  4. 1.1 Research Objectives / 1-1 / (0018.jp2)
  5. 1.2 The Concept of Software Risk / 1-3 / (0020.jp2)
  6. 1.3 Motivation for Metrics / 1-4 / (0021.jp2)
  7. 1.4 Motivation for Metrics Database / 1-8 / (0025.jp2)
  8. 1.5 Research Issues / 1-9 / (0026.jp2)
  9. 1.6 Thesis Organization / 1-13 / (0030.jp2)
  10. Chapter 2:Software Metrics in Project Management / 2-1 / (0032.jp2)
  11. 2.1 Historical Overview / 2-1 / (0032.jp2)
  12. 2.2 Test and Evaluation Metrics Set / 2-6 / (0037.jp2)
  13. 2.3 Related Work / 2-16 / (0047.jp2)
  14. 2.4 Management Metrics / 2-18 / (0049.jp2)
  15. 2.5 Requirement Metrics / 2-27 / (0058.jp2)
  16. 2.6 Quality Metrics / 2-30 / (0061.jp2)
  17. 2.7 Relationships Among Metrics / 2-40 / (0071.jp2)
  18. 2.8 Conceptual Modeling of Software Metrics / 2-43 / (0074.jp2)
  19. 2.9 Sample Data for Software Metrics / 2-48 / (0079.jp2)
  20. Chapter 3:Queries on Metrics Database / 3-1 / (0080.jp2)
  21. 3.1 Introduction / 3-1 / (0080.jp2)
  22. 3.2 Simple Examination and Classification of Queries for Software Metrics / 3-3 / (0082.jp2)
  23. 3.3 Goal-Question-Metric(GQM) / 3-4 / (0083.jp2)
  24. 3.4 Schedule Scenarios / 3-8 / (0087.jp2)
  25. 3.5 Technical Scenarios / 3-12 / (0091.jp2)
  26. 3.6 Cost Scenarios / 3-13 / (0092.jp2)
  27. 3.7 Acquisition Scenarios / 3-16 / (0095.jp2)
  28. 3.8 Conclusions / 3-20 / (0099.jp2)
  29. Chapter 4:Analytical Techniques for Metrics Guided Risk Management / 4-1 / (0100.jp2)
  30. 4.1 Introduction / 4-1 / (0100.jp2)
  31. 4.2 Data Dependency Techniques for Software Metrics Data / 4-4 / (0103.jp2)
  32. 4.3 Analytical Techniques for Software Metrics Data / 4-12 / (0111.jp2)
  33. Chapter 5:Metrics Classification Techniques and an Framework for Risk Management / 5-1 / (0126.jp2)
  34. 5.1 Introduction / 5-1 / (0126.jp2)
  35. 5.2 Classification Trees / 5-3 / (0128.jp2)
  36. 5.3 Neural Networks / 5-11 / (0136.jp2)
  37. 5.4 An Integrated Software Project Management Framework / 5-18 / (0143.jp2)
  38. 5.5 Conclusion / 5-22 / (0147.jp2)
  39. Chapter 6:Decision Making Framework for Project Management Using a Value Based Software Engineering Approach / 6-1 / (0149.jp2)
  40. 6.1 Introduction / 6-1 / (0149.jp2)
  41. 6.2 Background / 6-3 / (0151.jp2)
  42. 6.3 The Putnam/Norden Model / 6-6 (0154.jp2)
  43. 6.4 The Proposed Models for Metric-Based Decision/Quality Tradeoffs / 6-10 (0158.jp2)
  44. 6.5 Discussion / 6-29 / (0177.jp2)
  45. 6.6 Experimental Validation of the Proposed Models / 6-33 / (0181.jp2)
  46. 6.7 Conclusion / 6-38 / (0186.jp2)
  47. Chapter 7:Data Models for Metrics-Based Project Management Systems / 7-1 / (0188.jp2)
  48. 7.1 Introduction / 7-1 / (0188.jp2)
  49. 7.2 Overview of Data Models for Software Metrics Database Management / 7-2 / (0189.jp2)
  50. 7.3 Metrics Queries Using the Object-Oriented Data Model / 7-9 / (0196.jp2)
  51. 7.4 Software Metrics Queries Using the Graph Data Model / 7-16 / (0203.jp2)
  52. 7.5 A Formal Approach for Semantic Modeling of Metrics Data for Quality and Risk Management / 7-19 / (0206.jp2)
  53. 7.6 Performance Considerations for Implementation of Software Database Management System / 7-44 / (0231.jp2)
  54. 7.7 Conclusion / 7-46 / (0233.jp2)
  55. Chapter 8:Schema Evolution and View Management in Metrivs Databases Using Recursive Graphs / 8-1 / (0234.jp2)
  56. 8.1 Introduction / 8-1 / (0234.jp2)
  57. 8.2 Schema Evolution in Metrics Databases / 8-2 / (0235.jp2)
  58. 8.3 Recursive Graphs(R-Graphs):A Brief Introduction / 8-7 / (0240.jp2)
  59. 8.4 Modeling Metrics Database Schema as R-Graphs / 8-11 / (0244.jp2)
  60. 8.5 Extending R-Graph to Support Object-Oriented Abstraction and Evolution / 8-13 / (0246.jp2)
  61. 8.6 An Architecture for Software Metrics Database Management Systems / 8-25 / (0258.jp2)
  62. 8.7 Conclusions / 8-33 / (0266.jp2)
  63. Chapter 9:Conclusion / 9-1 / (0268.jp2)
  64. 9.1 Research Contributions / 9-1 / (0268.jp2)
  65. 9.2 Future Extensions / 9-3 / (0270.jp2)
  66. Bibliography / (0273.jp2)
  67. Appendix A:Sample Data for Some Software Metrics / (0302.jp2)
  68. Acronyms / 1-A / (0303.jp2)
  69. Breadth of Testing Metric / 2-A / (0304.jp2)
  70. Complexity Metric / 9-A / (0311.jp2)
  71. Cost Metric / 55-A / (0357.jp2)
  72. Computer Resource(CPU)Utilization Metric / 63-A / (0365.jp2)
  73. Computer Resource(I/O Channel)Utilization Metric / 66-A (0368.jp2)
  74. Computer Resource(Mass Storage)Utilization Metric / 71-A / (0373.jp2)
  75. Depth of Testing Metric / 77-A / (0379.jp2)
  76. Software Design Stability Metric / 123-A / (0425.jp2)
  77. Software Fault Profiles Metric / 131-A / (0433.jp2)
  78. Software Reliability Metric / 142-A / (0444.jp2)
  79. Software Requirement Stability Metric / 144-A / (0446.jp2)
  80. Appendix B:NSDIR and NEC Data Analysis / (0455.jp2)
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Codes

  • NII Article ID (NAID)
    500000185810
  • NII Author ID (NRID)
    • 8000000186093
  • DOI(NDL)
  • Text Lang
    • jpn
  • NDLBibID
    • 000000350124
  • Source
    • Institutional Repository
    • NDL ONLINE
    • NDL Digital Collections

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