DEVELOPMENT AND TESTING OF ALGORITHM FOR AUTOMATING TEAM FORMATION IN IT PROJECTS

Abstract

The research aims to investigate the automation of recruiting and the formation of adaptive teams for IT projects using a proposed mathematical model. Additionally, the proposed algorithm needs to be tested in practice. The algorithm is based on weighting coefficients formed on the basis of expert assessments of key characteristics of candidates which are obtained by testing candidates for soft and hard skills. The research compares the results of two approaches: arbitrary team formation and a method based on a proposed mathematical algorithm. The authors conducted a practical study of both approaches during a hackathon whose task was to develop a web page for a future HR platform. The research methodology involved dividing the participants into two groups. The participants are divided into two groups. The first group forms teams independently during the hackathon, while the second group undergoes soft and hard skills tests during registration to determine team formation using a mathematical algorithm. The study’s authors present the effectiveness results of both groups and describe the advantages and possibilities for improving the algorithm. The conclusions drawn identify the achievements of the study and prospects for further development of the algorithm for automating team selection in the IT industry. This work contributes significantly to the understanding of effective strategies for forming IT teams, which is crucial in the face of constant technological changes.