An automated recruiting model for an optimal team of software engineers from global freelancing platforms

Abstract

The COVID-19 pandemic has dramatically changed the shape of conventional recruitment processes over the past few months. Remote working where it is technically possible has become a de facto standard all over the world. For software development, Freelancing platforms, as virtually unlimited resources of globally distributed talents, pose a great opportunity but also plenty of risks. This study proposes an automated model for recruiting remote specialists in a framework meant to reduce the time-to-market for software products. The results are optimal in relation to the project’s cost, team’s productivity and overall product success. The research methodology along with the system used to collect data and the relevance of the data set are described.