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Dagstuhl Seminar Empirical Software Engineering Issues 2006
- Victor R. Basili, H. Dieter Rombach, Kurt Schneider, Barbara A. Kitchenham, Dietmar Pfahl, Richard W. Selby:
Empirical Software Engineering Issues. Critical Assessment and Future Directions, International Workshop, Dagstuhl Castle, Germany, June 26-30, 2006. Revised Papers. Lecture Notes in Computer Science 4336, Springer 2007, ISBN 978-3-540-71300-5
Session 1 The Empirical Paradigm
- H. Dieter Rombach:
The Empirical Paradigm Introduction . 1-3
Approaches for Empirical Validation
- Marvin V. Zelkowitz:
Techniques for Empirical Validation. 4-9 - Andreas Höfer, Walter F. Tichy:
Status of Empirical Research in Software Engineering. 10-19
Position Papers
- Marcus Ciolkowski:
Aggregation of Empirical Evidence. 20 - Lionel C. Briand:
Empirical Evaluation in Software Engineering: Role, Strategy, and Limitations. 21 - Markku Oivo:
New Opportunities for Empirical Research. 22 - Carolyn B. Seaman:
Empirical Paradigm: Position Paper. 23 - Austen Rainer:
The Value of Empirical Evidence for Practitioners and Researchers. 24
Exploration Versus Confirmation
- Barbara A. Kitchenham:
Empirical Paradigm - The Role of Experiments. 25-32 - Victor R. Basili:
The Role of Controlled Experiments in Software Engineering Research. 33-37
Position Papers
- James Miller:
Creating Real Value in Software Engineering Experiments. 38 - Guilherme Horta Travassos:
From Silver Bullets to Philosophers' Stones: Who Wants to Be Just an Empiricist? 39 - Helen Sharp:
Social and Human Aspects of Software Engineering. 40 - Tracy Hall:
Longitudinal Studies in Evidence-Based Software Engineering. 41 - Jeffrey C. Carver:
The Use of Grounded Theory in Empirical Software Engineering. 42
Historical Review
- Michael S. Mahoney:
Exploration and Confirmation: An Historical Perspective. 43-49
Working Group Results
- Carolyn B. Seaman:
Combining Study Designs and Techniques Working Group Results. 50-53 - Lutz Prechelt:
Optimizing Return-On-Investment (ROI) for Empirical Software Engineering Studies Working Group Results. 54-57 - Andreas Jedlitschka, Lionel C. Briand:
The Role of Controlled Experiments Working Group Results. 58-62
Discussion and Summary
- Marcus Ciolkowski, Barbara A. Kitchenham, H. Dieter Rombach:
The Empirical Paradigm Discussion and Summary. 63-67
Session 2 Measurement and Model Building
- Victor R. Basili:
Measurement and Model Building Introduction. 68-69
Data Sharing
- Richard W. Selby:
Data Collection, Analysis, and Sharing Strategies for Enabling Software Measurement and Model Building. 70-76 - Dag I. K. Sjøberg:
Knowledge Acquisition in Software Engineering Requires Sharing of Data and Artifacts. 77-82
Effective Data Interpretation
- Jürgen Münch:
Effective Data Interpretation. 83-90 - Audris Mockus:
Software Support Tools and Experimental Work. 91-99
Position Papers
- Hakan Erdogmus:
Measurement and Interpretation of Productivity and Functional Correctness. 100 - Barbara A. Kitchenham:
Synthesising Research Results. 101 - Thomas J. Ostrand:
On the Quality of Data. 102
Working Group Results
- Nachiappan Nagappan:
Potential of Open Source Systems as Project Repositories for Empirical Studies Working Group Results. 103-107 - Marvin V. Zelkowitz:
Data Sharing Enabling Technologies Working Group Results. 108-110 - Dag I. K. Sjøberg:
Documenting Theories Working Group Results. 111-114
Discussion and Summary
- Sira Vegas, Victor R. Basili:
Measurement and Model Building Discussion and Summary. 115-120
Session 3 Technology Transfer and Education
- Kurt Schneider:
Technology Transfer and Education Introduction. 121-124
Technology Transfer
- Elaine J. Weyuker:
Empirical Studies as a Basis for Technology Transfer. 125-127
Position Papers
- Giovanni Cantone:
Relationships and Responsibilities of Software Experimentation. 128 - Tore Dybå:
The (Practical) Importance of SE Experiments. 129 - Andreas Jedlitschka:
How to Improve the Use of Controlled Experiments as a Means for Early Technology Transfer. 130 - Marek Leszak:
Extending Empirical Studies to Cover More Realistic Industrial Development and Project Management Issues. 131 - Nachiappan Nagappan:
Empirical Case Studies in Industry: Some Thoughts. 132 - Dietmar Pfahl:
Software Process Simulation Frameworks in Support of Packaging and Transferring Empirical Evidence. 133 - Laurie A. Williams:
Structuring Families of Industrial Case Studies. 134
Education
- Claes Wohlin:
Empirical Software Engineering: Teaching Methods and Conducting Studies. 135-142 - Natalia Juristo Juzgado:
Educational Objectives for Empirical Methods. 143-150
Position Papers
- Frank Houdek:
On "Landscaping" and Influence of Empirical Studies. 151 - Letizia Jaccheri, Sandro Morasca:
Involving Industry Professionals in Empirical Studies with Students. 152
Working Group Results
- Lutz Prechelt, Laurie A. Williams:
Industry-Research Collaboration Working Group Results . 153-157 - Austen Rainer, Marcus Ciolkowski, Dietmar Pfahl, Barbara A. Kitchenham, Sandro Morasca, Matthias M. Müller, Guilherme Horta Travassos, Sira Vegas:
Teaching Empirical Methods to Undergraduate Students Working Group Results. 158-162
Discussion and Summary
- Andreas Jedlitschka, Dietmar Pfahl, Kurt Schneider:
Technology Transfer and Education Discussion and Summary. 163-167
Roadmapping
- Richard W. Selby:
Empirical Software Engineering Research Roadmap Introduction. 168-171
Working Group Results
- D. Ross Jeffery:
Roadmapping Working Group 1 Results. 172-174 - Marcus Ciolkowski, Lionel C. Briand:
Roadmapping Working Group 2 Results. 175-177 - Frank Houdek:
Roadmapping Working Group 3 Results. 178-180 - Laurie A. Williams, Hakan Erdogmus, Richard W. Selby:
Roadmapping Working Group 4 Results. 181-183
Discussion and Summary
- Richard W. Selby:
Empirical Software Engineering Research Roadmap Discussion and Summary. 184-187
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