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An optimized event based software project scheduling with uncertainty treatment


Article Information

Title: An optimized event based software project scheduling with uncertainty treatment

Authors: Sarojini Yarramsetti, G. Kousalya

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 6

Language: English

Categories

Abstract

Software organizations every day meet new challenges in the workflow of different projects. Scheduling the software projects is important and challenging for software project managers. Efficient Project plans reduce the cost of software construction. Efficient resource allocation will obtain the desired result. Task scheduling and human resource allocation were done in many software modeling. Even though we are having large number of scheduling and staffing techniques like Ant Colony Optimization, Particle Swarm Optimization (PSO), Genetic Algorithm (GA), PSO-GA, there is a need to address uncertainties in requirements, process execution and in resources. But many of the resource plans was affected by the unexpected joining and leaving event of human resources which may call uncertainty. We develop a prototype tool to support managing uncertainties using simulation and simple models for management decisions about resource reallocation. We also used some real-world data in evaluating our approach. This paper presents, a solution to the problem of uncertain events occurred in the software project planning and resource allocation. This paper presents a solution to the uncertainties in human resource allocation.


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