Software Vulnerabilities Detection in Agile Process using graph method and Deep Neural Network

Software development is rapidly growing at a global level. It requires a lot of technical knowledge and a well-structured skill set. Due to these and other factors, software development projects contain elements of uncertainty. Risks can also be defined as the possibility of the occurrence of an event which may either have a positive or negative impact on the result. Risk management is one of the most important functions of management strategies. In project management, risk management plays an important role in preventing and mitigating risks that have the potential to adversely affect the specified outcomes. Artificial neural network-based training algorithm is used to predict the risks in agile software development project. They help project managers in decision making and predicting the risks involved in the projects with respect to the resources, techniques and other constraints involved.