Empirical software engineering

Empirical software engineering (ESE)[1] is a subfield of software engineering (SE) research that uses empirical research methods to study and evaluate an SE phenomenon of interest. The phenomenon may refer to software development tools/technology, practices, processes, policies, or other human and organizational aspects.

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

  1. Primary research (Experimentnation, Case study research, Survey research, Simulations in particular Software Process simulation)
  2. Secondary research methods (Systematic reviews, Systematic mapping studies, Rapid reviews)

Teaching empirical software engineering

Three comprehensive books[1][4] for students, professionals[5] and researchers interested in ESE are available. Furthermore, the following open courseware and public resources are available for courses on empirical research methods in software engineering:

References
  1. 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?: Considering resource use in empirical software engineering". Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement: 1–6. doi:10.1145/2961111.2962631.
  3. Wohlin, Claes; Aurum, Aybüke (December 2015). "Towards a decision-making structure for selecting a research design in empirical software engineering". Empirical Software Engineering. 20 (6): 1427–1455. doi:10.1007/s10664-014-9319-7.
  4. Contemporary empirical methods in software engineering. Cham, Switzerland. 2020. ISBN 978-3-030-32488-9.
  5. Evidence-based Software Engineering based on the publicly available data (PDF). 2020. ISBN 978-1-8382913-0-3.
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