Improving Traceability in Distributed Collaborative Software Development

Transcription

1 Tobias Hildenbrand Improving Traceability in Distributed Collaborative Software Development A Design Science Approach PETER LANG Internationaler Verlag der Wissenschaften

2 List of Figures List'of Tables List of Abbreviations xiii xvii xix I Foundations 1 1 Introduction Problem Outline..., Research Questions and Objectives Research Methodology and Organization 7 2 Distributed Collaborative Software Development Methodology Conceptual Foundations Industrialization and Globalization Teams, Processes, Artifacts, and Tools Working Definition Collaborative Software Development Framework ' Review of Current Approaches Methodological Approaches Tool-Based Approaches Overall Evaluation of Collaboration Approaches 36 3 Traceability and Rationale Management Methodology Conceptual Foundations Awareness and Requirements Management Software Traceability Information Working Definition Traceability and Rationale Management Framework Architectural Comprehensiveness Traceability Information Scope Traceability and Rationale Management Process Coverage Evaluation Criteria and Determination 58

3 3.4 Review and Evaluation of Existing Approaches Conceptual Approaches Methodological Approaches G Tool-Based Approaches Overall Evaluation of Traceability Approaches 77 II Solution Requirements Analysis and Design 79 4 Solution Requirements Analysis Analysis Methodology Global Software Development Case Study Settings and Methodology Global Software Development Requirements Collaboration Platform Case Study Settings and Methodology Generic Collaboration Platform Usage Scenario Collaboration Platform Requirements Analysis Implications and Propositions Use Cases and Solution Approaches, Traceability and Rationale Management Use Cases Non-Functional Requirements Existing Solution Approaches Solution Design and Implementation Solution Methodology Solution Architecture Information Model Methodological Guidelines Tool Infrastructure Architecture Solution Implementation Implementation Technologies Implementation Details 126 III Evaluation and Discussion Pre-Evaluation Studies Evaluation Methodology Evaluation Research Current Evaluation Practice Quality Criteria and Evaluation Guidelines Existing Evaluation Methods 157

4 6.3 Evaluation Context Industrial Context Evaluation Hypotheses Choice of Evaluation Methodology Known Issues with Student Subjects Related Studies Preliminary Evaluation Studies Descriptive and Analytical Evaluation Observational Evaluation Pro-Evaluation Experiences 182 Experimental Evaluation Experimental Design Evaluation Settings Population and Sampling Environmental Control Variables Treatment Process and Tasks Vested Interests and Possible Bias ^ Data Collection and Measurement Change Management and Impact Analysis Performance Implementation Status Reporting Performance Project Documentation Performance Project Monitoring Performance Post-Specification Software Engineering Performance Dropouts Measurement Summary Data Analysis and Findings Data Analysis Methods Change Impact Analysis Data Implementation Status Reporting Data Analysis Overall Project Documentation Data Analysis Project Monitoring and Inspection Data Analysis Software Engineering Data Analysis ' Summary of Experimental Findings 238 Discussion Interpretation of Findings Findings from Individual Treatments Additional Data and Findings Overall Interpretation and Explanation Approach Methodology Evaluation and Limitations Contributions and Recommendations 257

5 Conclusion Summary Outlook 266 IV Appendices 273 A V-TRaM Solution Details 275 A.I TraVis Implementation Details 275 A.2 CodeBeamer and TraVis Releases 282 B Experimental Evaluation Details 287 B.I Java Aptitude Test 287 B.2 Registration Questionnaire 292 B.3 Treatment Allocation Algorithm 295 B.4 Motivational Measures 297 B.5 Treatments, Tasks, and Guidelines 298 B.6 Pre-Specification Phase 301 B.7 Post-Specification Phase B.8 Detailed Statistical Analysis Results 313 Bibliography 333