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Risk Ananlysis and Estimation of Scheduling of Software Project – Using Stochastic Approach

Yogita Bindra1 , Rajesh Garg2 , Navneet Kaur3

  1. Department of Computer Science and Engineering, Ganpati Institute of Technology and Management, Bilaspur, India.
  2. Department of Electronics and Communication Engineering, Seth Jai Parakash Polytechnic for Engineering, Damla, India.
  3. Department of Computer Science and Engineering,Ganpati Institute of Technology and Management, Bilaspur, India.

Correspondence should be addressed to: yobindra24@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-1 , Page no. 332-335, Jan-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i1.332335

Online published on Jan 31, 2018

Copyright © Yogita Bindra, Rajesh Garg, Navneet Kaur . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Yogita Bindra, Rajesh Garg, Navneet Kaur, “Risk Ananlysis and Estimation of Scheduling of Software Project – Using Stochastic Approach,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.332-335, 2018.

MLA Style Citation: Yogita Bindra, Rajesh Garg, Navneet Kaur "Risk Ananlysis and Estimation of Scheduling of Software Project – Using Stochastic Approach." International Journal of Computer Sciences and Engineering 6.1 (2018): 332-335.

APA Style Citation: Yogita Bindra, Rajesh Garg, Navneet Kaur, (2018). Risk Ananlysis and Estimation of Scheduling of Software Project – Using Stochastic Approach. International Journal of Computer Sciences and Engineering, 6(1), 332-335.

BibTex Style Citation:
@article{Bindra_2018,
author = {Yogita Bindra, Rajesh Garg, Navneet Kaur},
title = {Risk Ananlysis and Estimation of Scheduling of Software Project – Using Stochastic Approach},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2018},
volume = {6},
Issue = {1},
month = {1},
year = {2018},
issn = {2347-2693},
pages = {332-335},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1679},
doi = {https://doi.org/10.26438/ijcse/v6i1.332335}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i1.332335}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1679
TI - Risk Ananlysis and Estimation of Scheduling of Software Project – Using Stochastic Approach
T2 - International Journal of Computer Sciences and Engineering
AU - Yogita Bindra, Rajesh Garg, Navneet Kaur
PY - 2018
DA - 2018/01/31
PB - IJCSE, Indore, INDIA
SP - 332-335
IS - 1
VL - 6
SN - 2347-2693
ER -

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Abstract

A project is a combination of several interrelated activities which must be performed in a certain order of its completion. To meet tight deadlines in software projects, managers need to understand key reservations about the scheduling techniques and how to use a schedule risk analysis to provide information crucial to a project’s success. This paper describes an application of simulation which simulates the duration of the activities for analyzing schedule risk and providing reliable estimates of time. Monte Carlo Simulation Methods are mostly used for analyzing schedule risk. In this the random numbers are generated to simulate the software project number of times. The primary objective of the simulation is to find out the effect of uncertainties on the schedule of project completion. The designed simulator SRAES for a live website Filmtribe uncovered the critical paths and risky activities in the project and also provided the risk indices of those risky activities. The simulator also calculated the Project Completion Time in less than 1 minute which can take months to calculate analytically. Therefore, it is concluded that Monte Carlo Simulation is an important technique for risk analysis and estimation of scheduling in any type of software projects.

Key-Words / Index Term

Schedule Risk Analysis, Monte Carlo Simulation, Estimation

References

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[2] Xing-xia, W. and Jian-wen, H. 2009. “Risk Analysis of Construction Schedule Based on Monte Carlo Simulation”. Computer Network and Multimedia Technology, IEEE, Wuhan, pp. 1 – 4
[3] Sharma, S.D. 2009. Operations Research, 15th Ed. Reprint, Kedar Nath and Ram Nath, Meerut.
[4] Hira, D. S. 2001. System Simulation, S. Chand & Company Pvt. Ltd, New Delhi.
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[6] Sharma, I. et al. 2011. “Schedule Risk Analysis Simulator using Beta Distribution”. International Journal of Computer Science and Engineering (IJCSE), Vol. 3, No. 6, pp.2408-2414.
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