Guiding Principles for Using Mixed Methods Research in Software Engineering
Margaret-Anne Storey, Rashina Hoda, Alessandra Maciel Paz Milani, Maria Teresa Baldassarre
TL;DR
Guiding Principles for Using Mixed Methods Research in Software Engineering defines mixed methods research (MMR) in SE and argues for principled, rigorous, and ethical designs. It articulates four core guiding principles—methodological rationale, novel integrated insights (meta-inferences), procedural rigor, and ethical research—and outlines the design landscape (design properties, types of integration, and common designs). Through four fictional SE design scenarios mapped to Exploratory Sequential, Explanatory Sequential, Convergent Parallel, and Embedded designs, the paper demonstrates how to trade off design choices and avoid antipatterns. It also discusses synergies with other methods and provides a call to action for the SE community to adopt open, principled, and human-centered MMR practices, along with an appendix glossary of terms.
Abstract
Mixed methods research is often used in software engineering, but researchers outside of the social or human sciences often lack experience when using these designs. This paper provides guiding principles and advice on how to design mixed method research, and to encourage the intentional, rigorous, and innovative application of mixed methods in software engineering. It also presents key properties of core mixed method research designs. Through a number of fictitious but recognizable software engineering research scenarios, we showcase how to choose suitable designs and consider the inevitable trade-offs any design choice leads to. We describe several antipatterns that illustrate what to avoid in mixed method research, and when mixed method research should be considered over other approaches.
