Towards a framework to support large scale sampling in software engineering surveys
Rafael de Mello, Pedro Corrêa da Silva, Per Runeson, Guilherme Horta Travassos · 2014
Context: The low quality and small size of samples in empirical studies in software engineering hamper the interpretation and generalization of their results. Therefore, enlarging sample sizes and improving their quality represent an important research challenge. Goal: We aim to define a conceptual framework, including requirements for establishing adequate sources for sampling subjects in software engineering surveys. Method: We use previous experience on applying systematic sampling strategies combined with contemporary web technologies in previously executed surveys, to organize the conceptual framework. We analyze its application to different sources of sampling. Results: The framework was observed to be feasible after its application to nine different large-scale sources of sampling. Conclusions: The analyzed crowdsourcing tools do not support essential requirements to be considered sources of sampling, while free-lancing tools and professional social network do.