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Guiding Principles for Using Mixed Methods Research in Software Engineering

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arxiv 2404.06011 v4 pith:4AW3Y7YG submitted 2024-04-09 cs.SE

classification cs.SE
keywords mixedresearchengineeringmethodsoftwaredesignsmethodsdesign
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Get on the Train or be Left on the Station: Using LLMs for Software Engineering Research

    cs.SE 2025-06 conditional novelty 4.0 of 10

    The paper maps LLM impacts onto the SE research pipeline with McLuhan's Tetrad, predicting enhancements, obsolescence, retrievals, and reversals, and calls for community action.

  2. Qualitative Research Methods in Software Engineering: Past, Present, and Future

    cs.SE 2025-02 unverdicted novelty 3.0 of 10

    A retrospective by the original authors traces how qualitative methods grew in software engineering and offers recommendations for future methodological diversity.

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