作者: Kathryn T. Stolee , Sebastian Elbaum
关键词: Engineering 、 Mechanism (biology) 、 Data science 、 Crowdsourcing software development 、 Software engineering 、 Work (electrical) 、 Empirical research 、 Generality 、 Crowdsourcing
摘要: The power and the generality of findings obtained through empirical studies are bounded by number type participating subjects. In software engineering, obtaining a large adequate subjects to evaluate technique or tool is often major challenge. this work we explore use crowdsourcing as mechanism address that challenge assisting in subject recruitment. More specifically, show how adapted study be performed under an infrastructure not only makes it possible reach base users but also provides capabilities manage those being conducted. We discuss lessons learned experience, which illustrate potential tradeoffs engineering studies.