Software Project Management Net: a new methodology on software management

Abstract

Managing the development of large-scale software systems is a challenge to all software project managers due to the ever-increasing complexity inherent in the software development life-cycle. In this paper, a formalism intended to capture the concurrent and iterative nature of software development, called Software Project Management Net (SPMNet), is proposed in order to model software development projects. By augmenting and applying genetic algorithms in an innovative manner by sharply reducing the solution search-space complexity, SPMNet provides optimal or near-optimal solutions to the resource allocation and project scheduling problems. Results collected from simulation runs clearly support our approach for practical applications.