Schedule risk analysis and management in software projects using simulation

Schedule is the key factor for success of any software project. To maintain the scheduling of software project is very difficult task because it is very hard to estimate the project completion time. For analyzing the schedule risk in software project. Monte-Carlo Simulation is mainly used to calculate the activity times of a project network many numbers of times e.g. 1000 times, each time choosing the activity time randomly using probability distribution. The Monte Carlo simulation technique is also used in research work to provide greater flexibility in estimating risk index and project completion time. The main objective of work is to analyze the schedule risk in software project by calculating the risk index of each activity in the network of software project.