BibTeX:

@article{IJIRSTV3I1084,
     title={Risk Analysis of Software Schedule based on Simulation},
     author={Bhawna Verma and Mamta Dhanda},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={1},
     pages={71--77},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I1084.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Schedule is the key issue for success of any software project. To maintain the scheduling of software project is very difficult task as a result of it's very hard to estimate the project completion time. For analyzing the schedule risk in software project Monte Carlo Simulation is principally used which calculate the activity time of project network several number of times e.g. 1000 times, each time selecting the activity time randomly using probability (beta) distribution. The Monte Carlo simulation technique is mainly used in research work to provide greater flexibility in estimating critical index and project completion time. The objective of work is to analyze the schedule risk in software projects by calculating the critical index of each activity in the network of software project.

Schedule Risk, Activity Network, Monte Carlo Simulation, Critical Activities, PERT