Contemporary Empirical Methods in Software Engineering
This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods tha...
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| Other Authors: | , |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-32489-6 |
Table of Contents:
- 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.