IT industry is one of the biggest industries around the world with several software projects being developed which vary in size, cost, complexity, etc. During development, many risks of different types arise such as lack of staff experience, new technologies, budgets, etc. These risks play a huge role in success or failure of a project. Most of the available risk management solutions are too costly and time consuming. There is a need for an efficient risk management technique. To assist the project manager in risk management, we have developed an application which will identify the risks involved during software development and predict the success or failure of the project using Artificial Neural Networks. The prediction will be done using historical data taking the important and common risk factors into account. After risk identification, the probability of success or failure will be determined and suggestions for risk mitigation will be provided for the project. This application will help the project managers in carrying out risk management activities efficiently.

Risk Identification Neural Networks Backpropagation