Risks' Attribute Values Evaluation in Software Engineering by Monte Carlo Simulation

It is a good practice in the industry to carry out a risk assessment even before the stages of software production because we can prevent the costs of both human and material resources. In the era of the success of artificial intelligence with machine learning, it is very important to have accumulated expert knowledge on the basis of which we fuel datasets. Usually, it is very difficult to obtain numerical values of risk attributes, and especially to determine their importance among others. The values of risk attributes can be balanced in various ways, one of which is Monte Carlo simulation, which is presented in the publication.