Developing analytics models for software project management

Schedule and cost overruns constitute a major problem in software projects and have been a source of concern for the software engineering community for a long time. Managing software projects to meet time and cost constraints is highly challenging, due to the dynamic nature of software development. Software project management covers a range of complex activities such as project planning, progress monitoring, and risk management. These tasks require project managers the capability to make correct estimations and foresee future significant events in their projects. However, there has been little work on providing automated support for software project management activities