Project Security Using Analytical Time Evaluation Techniques
Keywords:
project management, software development, project time estimation, merge event biasAbstract
Time planning of IT Projects is difficult due to a large number of uncertainties in the software development process. Mistakes in software development planning open ways to architectural, functional, and integrative deficiencies of the product and surrounding processes. Using a simple synthetic project, we compare three analytic techniques to evaluate project duration. These three techniques can work with uncertain input parameters, represent projects as stochastic activity networks, and use simple computations to approximate distributions of the start time and end time of all tasks. Most importantly, they address the problem of merge event bias. We observe that a method with most relaxed assumptions performs better than others in comparison with a simulated ideal solution.
References
P. Ballesteros-Pérez, G. D. Larsen, and M. C. González-Cruz, “Do Projects really end late? On the shortcomings of the classical scheduling techniques,” J. Technol. Sci. Educ., vol. 8, no. 1, p. 17, Mar. 2018.
M. Goman and J. Pecerska, “Merge Event Bias in Project Evaluation Techniques – Problems and Directions,” in 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), Oct. 2020, pp. 1–6.
M. Goman, “A Heuristic Technique for Project Time Analysis in Conditions with High Uncertainty,” in Business Modeling and Software Design, B. Shishkov, Ed., Cham: Springer International Publishing, 2021, pp. 363–373.
J. J. Moder, C. R. Phillips, and E. W. Davis, Project management with CPM, PERT, and precedence diagramming, 3rd ed. New York: Van Nostrand Reinhold, 1983.
Y. Cohen and O. Zwikael, “A New Technique for Estimating the Distribution of a Stochastic Project Makespan:,” International Journal of Information Technology Project Management, vol. 1, no. 3, pp. 14–27, Jul. 2010.
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