The automated formation of corporate groups for software projects: a systematic mapping

The process of selection of human resources for software projects is complex and subjective, requiring the project manager to assess and identify the knowledge and experience of professionals needed for the project. There is a natural difficulty existing in corporate environments with multiple projects in parallel. However in the context of software projects, specific requirements must be taken into consideration to the execution of the project, such as very specific skills that the individual should already know in the beginning of the project because there will be no time for the project to develop them. The goal of this paper is to verify in the literature what are the approaches adopted by researchers to automate the selection of individuals for team formation on software projects and their skills. For this purpose, this work conducts a systematic literature review. Four research questions were set and from them a search argument was used in seven academic search engines. 497 articles were found and after the criteria for inclusion and exclusion, 12 articles were analyzed. From them, genetic algorithms were identify as one of the approaches most used by the authors in order to automate the selection of individuals supported by a set of skills needed to design, however, it is notorious in the evaluated papers that each author uses a simplified set of individuals, in many cases pointing for example that the individual meets certain programming language only, without highlighting that the professional level of maturity, which in projects can be a differentiator.