Optimize Software Governance with a Predictive Model to Improve the Success Rate of Software Projects, Program and Portfolio
Maria Antony Ranesh1, S Justin Samuel2
1Maria Antony Ranesh, Research Scholar, Department of Computer Science, Sathyabama Institute of Science and Technology, Deemed to be University, Chennai (Tamil Nadu), India.
2Dr. S Justin Samuel, Professor, Department of Computer Science and Engineering, PSN Engineering College, PSN Nagar, Tirunelveli (Tamil Nadu), India.
Manuscript received on 20 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3934-3937 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B15320982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1532.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Success of Software projects is the main objective of any IT organization. Software Project management is a combination of People, Process and Technology to support the success of software projects. IT Governance ensures operational efficiency though various control mechanisms at a Project, Program and Portfolio level. Currently we have a gap in Governance and compliance process in predicting the success of software projects. This paper is focused on optimizing software governance with a logical predictive model.
Keywords: Software Projects; IT Governance; Project Management; Software Optimization; Predictive Model.
Scope of the Article: Systems and Software Engineering