Abstract:
For the successful software project management and success of a project, many studies
have been done but still many of the software projects cannot end up well. Among many
critical factors, we have identified “Project teams” as a strong determinant in project
success. The formation of software project teams has always given less priority in the
entire project development process. Inaccurate formation of software project teams can
lead to software project failure. We have proposed a framework using social network
analysis that can act as a supportive tool in the formation of the efficient project teams.
We have suggested a method for selection of team members that can act efficiently in
joint team performance. Our framework considers technical, social and non-technical
skills. Moreover, on the basis of their previous collaborations, we have finally proposed
the team members which are best compatible with each other. We have used social
network analysis techniques to dig out most potential nodes and compatible links. The
final nodes and links suggested by our frame work are considered as best combination
of team members. The results are validated by matching index. Matching index of both
the teams suggested by our framework and tradition technical method was computed with
the successful projects already completed by the software company. The matching index
for our framework was higher for the successful projects as compared to traditional teams.
We have concluded that the selection of right project team in right way increases project
productivity. Non-technical and social factors along with technical skills boost the team
performance remarkably as proposed by our frame work.
