Supervised Learning System for Software Project Management

Abstract

Software engineering technologies are composed of software development technique and project management. In the last decades, a variety of software development techniques have been proposed to improve software development ability and quality of software system. However, due to the software systems become more and more complex, we must have an efficient methodology to manage, monitor, and control the software project. Also, it is expected that organizations would be able to accumulate knowledge from the previous software project. Hence, we propose a supervised learning system for software project management as well as a methodology process. Based on previous project experiences, the system could provide some useful suggestions and software size estimation pertaining to new projects. In summary, the supervised learning system aims to foster more precise estimation and efficient management for software projects by means of accumulating experiences and analyzing collected results.