Advance Recommendation System for the Formation of More Prolific and Dynamic Software Project Teams

For the successful software project management and its success, many studies have been done but still many of the software projects cannot end up well. Formation of software teams has always given less priority in the entire project development process, but we have identified it as a strong determinant in project success. We have developed a methodology that will allow the formation of software project teams through a recommendation system. In this system, the team members which are best compatible with each other as a team will be recommended. This system gives weightage to both technical and non-technical skills of individual team member. We have used social network analysis techniques to dig out information and connections that are helpful in formation of best compatible teams. The results show a remarkable difference in the performance of the team that is formed using our recommendation system as compared to the traditional team selection criteria i.e. based on technical skills. Hence, selection of right project team in right way increases project productivity. Moreover, non-technical and social factors can boost the team performance remarkably.