Dagstuhl Seminar Experimental Software Engineering Issues 1992

Session 1: The Experimental Paradigm in Software Engineering

• Victor R. Basili:
  The Experimental Paradigm in Software Engineering. 3-12
  
• William W. Agresti:
  Profile of an Artifact Assessment Capability. 13-16
  
• Laszlo A. Belady:
  Experiments and Measurements for Systems Integration. 17-18
  
• Norbert Fuchs:
  Software Engineering Still on the Way to an Engineering Discipline. 19-22
  
• Jochen Ludewig:
  Problems in Modeling the Software Development Process as an Adventure Game. 23-26
  
• Walt Scacchi:
  Qualitative Techniques and Tools for Measuring, Analyzing, and Simulating Software Processes. 27-29
  
• Walter F. Tichy:
  On Experimental Computer Science. 30-32
  
• William W. Agresti:
  Session 1 Summary: The Experimental Paradigm in Software Engineering. 33-37
  

Session 2: Objectives and Context of Measurement or Experimentation

• Michael A. Cusumano:
  Objectives and Context of Software Measurement, Analysis and Control. 41-59
  
• Norman E. Fenton:
  Position Paper. 60-61
  
• Günter R. Koch:
  Software Engineering as an Organisational Challenge. 62-66
  
• Nazim H. Madhavji, John E. Botsford, Tilmann F. W. Bruckhaus, Khaled El Emam:
  Quantitative Measurements based on Process and Context Models. 67-72
  
• Karl-Heinrich Möller:
  Selecting, Implementing, and Measuring Methods to Improve the Software Development Process. 73-76
  
• Adam A. Porter:
  Rethinking Measurement to Support Incremental Process Improvement. 77-81
  
• Norman E. Fenton:
  Session 2 Summary: Objectives and Context of Measurement or Experimentation. 82-86
  

Session 3: Procedures and Mechanisms for Measurement or Experimentation

• Richard W. Selby:
  Software Measurement and Experimentation Frameworks, Mechanisms, and Infrastructure. 89-106
  
• Warren Harrison:
  Towards Well-Defined, Shareable Product Data. 107-110
  
• D. Ross Jeffery:
  A View on the Use of Three Research Philosophies to Adress Empirically Determined Weaknesses of the Software Engineering Process. 111-115
  
• Chris F. Kemerer:
  Bridging the Gap between Research and Practice in Software Engineering Management: Reflections on the Staffing Factors Paradox. 116-120
  
• Barbara Kitchenham:
  A Methodology for Evaluating Software Engineering Methods and Tools. 121-124
  
• Hausi A. Müller:
  Experimental Software Engineering Should Concentrate on Software Evolution. 125-128
  
• Eric E. Sumner Jr.:
  Yet Another Laboratory for Software Engineering. 129-132
  
• Marvin V. Zelkowitz:
  An Axiomatic Model for Program Complexity. 133-136
  
• Horst Zuse:
  Support of Experimentation by Measurement Theory. 137-140
  
• Barbara Kitchenham:
  Session 3 Summary: Procedures and Mechanisms for Measurement or Experimentation. 141-148
  

Session 4: (Measurement-Based) Modeling

• Stephen M. Thebaut, Vincent Yun Shen:
  Task-Specific Utility Assessment Models and their Role in the Development of Software Engineering Handbooks. 151-157
  
• Lionel C. Briand:
  Quantitative Empirical Modeling for Manageing Software Development: Constraints, Needs and Solutions. 158-163
  
• Giovanni Cantone:
  Software Business, Concurrent Engineering and Experience Factory Relationships. 164-170
  
• Daniel Hoffman:
  Establishing the Fundamentals of Software Engineering. 171-172
  
• Bev Littlewood:
  Measurement-Based Modelling Issues - The Problem of Assuring Ultra-High Dependability. 173-176
  
• Anneliese von Mayrhauser:
  The Role of Simulation in Software Engineering Experimentation. 177-179
  
• Markku Oivo:
  Multiple Viewpoints of Software Models. 180-182
  
• Anneliese von Mayrhauser:
  Session 4 Summary: (Measurement-Based) Modeling. 183-187
  

Session 5: Packaging for Reuse or Reuse of Models

• Kevin D. Wentzel:
  Software Engineering Models, Using and Reusing. 191-201
  
• Albert Endres:
  Model Reuse and Technology Transfer. 202-205
  
• Stuart I. Feldman:
  Packaging for Reuse and Reuse of Models. 206-209
  
• Claus Lewerentz:
  A Reuse Culture for Software Construction. 210-212
  
• Frank E. McGarry:
  Experimental Software Engineering; Packaging for Reuse. 213-215
  
• Norman F. Schneidewind:
  Experimental Designs for Validating Metrics and Applying them across Multiple Projects. 216-220
  
• Frank E. McGarry:
  Session 5 Summary: Packaging for Reuse. 221-225
  

Session 6: Technology Transfer, Teaching and Training

• M. M. Lehman:
  Position Paper. 229-233
  
• John J. Marciniak:
  Technology Transfer. 234-238
  
• H. Dieter Rombach:
  Systematic Software Technology Transfer. 239-246
  
• Stuart H. Zweben:
  Effective Use of Measurement and Experimentation in Computing Curricula. 247-251
  
• H. Dieter Rombach:
  Session 6 Summary: Technology Transfer, Teaching and Training. 252-256
  

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