In spite of numerous traditional and agile software project management models proposed,
process and project modeling still remains an open issue. This paper proposes a Bayesian …

Uncertainty during the period of software project development often brings huge risks to
contractors and clients. Developing an effective method to predict the cost and quality of …

The number and importance of Big Data projects is increasing, but unfortunately, a large
proportion of Big Data projects are failing. The ability of organizations to manage these …

Software project development has always been associated with high failure rate. In this
paper, we identify the key software risk factors responsible in achieving successful outcome …

We use a combination of metrics to understand, model, and evaluate the impact of pair
programming on software development. Pair programming is a core technique in the hot …

Software projects often do not accomplish what is expected. They fail to comply with the
planned schedule, cost more than predicted, or are simply not completed at all owing to …

The paper is concerned with the risks associated with software development and with the
range of factors that can impact on the quality of the project management process. The …

There is ample literature that suggests that the field of Big Data is growing rapidly. Also,
there is emerging literature on the need to create end-user Big Data applications, as distinct …

Traditional theory on software project risk management only stands from the perspective of
the general project management to analyze the risks and doesn't give full consideration to …

The ability to reliably predict the end quality of software under development presents a
significant advantage for a development team. It provides an opportunity to address high risk …