Empirical software engineering

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Empirical software engineering (ESE) [1] (also known as Evidence-based software engineering) is a subfield of software engineering (SE) research that uses empirical research methods to study and evaluate SE techniques. These techniques include: software development tools/technology, practices, processes, policies, or other human and organizational aspects.

Contents

ESE has roots in experimental software engineering, but as the field has matured, the need and acceptance for both quantitative and qualitative research have grown. [2] Today, common research methods used in ESE for primary and secondary research include the following: [3]

Teaching empirical software engineering

“Handbook on Teaching Empirical Software Engineering” (Springer 2024) [4] is targeted at educators who are teaching empirical methods to software engineering students. It has 21 chapters written by a total of 53 authors from 39 institutions across 16 countries. The book offers comprehensive guidelines and strategies for teaching software engineering research methods (e.g., controlled experiments, case studies, surveys, action research, design science, ethnography, mining software repositories, simulation-based studies, and literature reviews). Some other comprehensive books [1] [5] for students, professionals and researchers interested in ESE are available.

Research community

Journals, conferences, and communities devoted specifically to ESE:

References

  1. 1 2 Guide to advanced empirical software engineering. New York: Springer. 2008. ISBN   978-1-84800-043-8.
  2. ↑ Ali, Nauman bin (8 September 2016). "Is effectiveness sufficient to choose an intervention?". Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. pp. 1–6. doi:10.1145/2961111.2962631. ISBN   9781450344272. S2CID   3208211.
  3. ↑ Jones, Derek (2020). Evidence-based software engineering based on the publicly available data. London, England. ISBN   979-8411832860.{{cite book}}: CS1 maint: location missing publisher (link)
  4. ↑ Mendez, Daniel; Avgeriou, Paris; Kalinowski, Marcos; Ali, Nauman Bin, eds. (2024). "Handbook on Teaching Empirical Software Engineering" . SpringerLink. doi:10.1007/978-3-031-71769-7.
  5. ↑ Felderer, Michael; Travassos, Guilherme Horta (2020). Contemporary empirical methods in software engineering. Cham, Switzerland. ISBN   978-3-030-32488-9.{{cite book}}: CS1 maint: location missing publisher (link)
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