Hidden Populations in Software Engineering: Challenges, Lessons Learned, and Opportunities

Author:

De Souza Santos Ronnie1ORCID,Gama Kiev2ORCID

Affiliation:

1. University of Calgary, Calgary, Canada

2. UFPE, Recife, Brazil

Publisher

ACM

Reference44 articles.

1. Haya Al-Dajani, Hammad Akbar, Sara Carter, and Eleanor Shaw. 2021. Defying contextual embeddedness: evidence from displaced women entrepreneurs in Jordan. In Understanding Women's Entrepreneurship in a Gendered Context. Routledge, 32--46.

2. Bilal Amir and Paul Ralph. 2018. There is no random sampling in software engineering research. In Proceedings of the 40th international conference on software engineering: companion proceeedings. 344--345.

3. Rowland Atkinson and John Flint. 2001. Accessing hidden and hard-to-reach populations: Snowball research strategies. Social research update 33, 1 (2001), 1--4.

4. Sampling in software engineering research: A critical review and guidelines;Baltes Sebastian;Empirical Software Engineering,2022

5. Monica J Barratt, Jason A Ferris, and Simon Lenton. 2015. Hidden populations, online purposive sampling, and external validity: Taking off the blindfold. Field methods 27, 1 (2015), 3--21.

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