RIST: Uma solução para a alocação automática de tarefas em projetos de desenvolvimento de software baseados no Github e Trello

Abstract

Several steps and activities are involved in the software development process, one of these activities is task allocation. This activity is related to project management and is decisive for the success or failure of the project, since it involves risks related to time and consequently costs. However, it is important to emphasize the rotation of members within a development team, which can have negative impacts on deadlines and cost, and may even result in the discontinuation of the project. This negative impact is maximized when there is a concentration of knowledge in part of the team. Therefore, it is necessary that all knowledge related to the project is distributed equally over all team members in order to mitigate the negative impacts of possible departures of team members. This work proposes a web solution for task allocation considering the knowledge level of the team members’ repository. This solution is based on a genetic algorithm and truck factor calculation (a metric that represents the team’s knowledge level in the repository), in addition to being integrated with tools used in development such as github and trello.