Risk Management in Software Development using Artificial Neural Networks

Provided by: International Journal of Computer Applications
Topic: Software
Format: PDF
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, the authors 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 (ANN).

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