Extraction of technical and non-technical skills for optimal project-team allocation

Abstract

Project portfolio management (PPM) is a crucial subject matter in academics that needs to be explored at skill level for both the projects and the students. Skill matching can play a major role in not only determining the requirements of the project but also utilizing the skills of the students. When it comes to skills one should focus on the technical skills but non-technical skills are equally important to be taken into account while performing matching. Non-technical skills are needed to be acquired by the student as a part of social and work ethics. In this paper, we have proposed a model which performs both skill extraction and skill matching of the projects to a team of students. The skill extraction involves both technical and non-technical skill extraction while for skill matching. Formal concept analysis (FCA) and project-oriented stable marriage algorithm have been employed. This model matches a project to a team of students while analyzing both technical and non-technical skills required for the project and of the student.