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Reseach Article

Implementation of IT Project Management Control and Achieving the Control Objectives using Hybrid Extended Methodology

by Anirudh Arunan, Krishan Kumar, Manjula R.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 2
Year of Publication: 2016
Authors: Anirudh Arunan, Krishan Kumar, Manjula R.
10.5120/ijca2016912266

Anirudh Arunan, Krishan Kumar, Manjula R. . Implementation of IT Project Management Control and Achieving the Control Objectives using Hybrid Extended Methodology. International Journal of Computer Applications. 155, 2 ( Dec 2016), 27-34. DOI=10.5120/ijca2016912266

@article{ 10.5120/ijca2016912266,
author = { Anirudh Arunan, Krishan Kumar, Manjula R. },
title = { Implementation of IT Project Management Control and Achieving the Control Objectives using Hybrid Extended Methodology },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 2 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 27-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number2/26579-2016912266/ },
doi = { 10.5120/ijca2016912266 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:00:13.728132+05:30
%A Anirudh Arunan
%A Krishan Kumar
%A Manjula R.
%T Implementation of IT Project Management Control and Achieving the Control Objectives using Hybrid Extended Methodology
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 2
%P 27-34
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper looks into the various aspects and components of project management control with a view to identify a new methodology using a hybrid model to achieve control objectives. Classical approaches to project management control are explored. The best known methods of Project management are Water fall 3 and Scrum methods 3. However in a real world scenario, neither of these methodologies may be the best fit. Hence with the help of empirical project data an attempt is made to analyze options and see how effective is a hybrid model in achieving optimal control. To achieve this, additional control criteria like quality control and development of reusable components etc are used. The analysis is carried out using specific IT project implementation data of a medium size project. The project was implemented using standard Software Development Life Cycle (SDLC) techniques.

References
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Index Terms

Computer Science
Information Sciences

Keywords

IT project management Control objectives Hybrid extended methodology software development life cycle