Article,

Analysis on Software Project Staffing and Scheduling Using Ant Colony Optimization

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International Journal on Recent and Innovation Trends in Computing and Communication, 3 (3): 1724--1727 (March 2015)
DOI: 10.17762/ijritcc2321-8169.1503181

Abstract

Developing computer compatible and efficient techniques for software project planning are very much required and challenging in various multinational software companies. Most of the software projects are based on mainly human resources and it consists of people intensive activities. Thus proper scheduling of projects and human resource allocation is very much needed for rapid growth and development of software companies in a competitive world. In this paper a prototype based on project management system for project scheduling and human allocation is discussed. The paper discusses about the Ant Colony Optimization Algorithm (ACO) that takes into account both project scheduling and human allocation. For this the algorithm uses a task list and an employee allocation matrix. The paper consists of use of Gantt chart which displays the project schedule thus providing the project manager with the necessary project details (e.g. start date, end date, resource allocated).Thus providing the project managers the ease in functioning. The purpose of developing such a system is that it provides the software companies the flexibility in software planning.

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