Contemporary Empirical Methods in Software Engineering

1. Introduction: The Evolution of Empirical Methods in Software Engineering.- Part I: Study Strategies.- 2. Guidelines for Conducting Software Engineering Research.- 3. Preliminary Guidelines for Case Survey Research in Software Engineering.- 4. Challenges in Survey Research.- 5. The Design Science Paradigm as a Frame for Empirical Software Engineering.- Part II: Data Collection, Production, and Analysis.- 6. Biometric Measurement in Software Engineering.- 7. Empirical Software Engineering Experimentation with Human Computation.- 8. Data Science and Empirical Software Engineering.- 9. Optimization in Software Engineering - A Pragmatic Approach.- 10. The Role of Simulation-based Studies in Software Engineering Research.- 11. Bayesian data analysis in empirical software engineering-The case of missing data.- Part III: Knowledge Acquisition and Aggregation.- 12. Automating Systematic Literature Reviews.- 13. Rapid Reviews in Software Engineering.- 14. Benefitting from the Grey Literature in Software Engineering Research.- 15: Systematic Assessment of Threats to Validity in Software Engineering Secondary Studies.- 16. Evidence Aggregation in Software Engineering.- Part IV: Knowledge Transfer.- 17. Open Science in Software Engineering.- 18. Practical industry co-production and technology and knowledge interchange.