A Proposed Approach to Crowd Selection in Crowdsourced Requirements Engineering for Mobile Apps

Lately, we have witnessed an overwhelming growth of mobile apps and their usage. Fast and continuously changing desires of users, and rising competition within the technology industry, have put greater stress on mobile apps producers. Meeting users' expectations cannot be easily fulfilled and requires new approaches to engage crowd of interested users in requirements engineering (RE) activities. Recently, a great deal of emphasis has been shed on leveraging crowdsourcing model for supporting RE activities. Identifying the right crowd is the key to obtain innovative and quality features and requirements, where few studies have researched. In addition, social media platforms have since become a fertile source for crowd-generated content. Such content reveal information that can assist in preforming crowd selection. Therefore, in this research-in-progress paper, we propose an approach which utilizes the available data on Twitter to find a subset of the crowd to crowdsource RE tasks for mobile apps.