Open AccessOptimize Software Governance with a Predictive Model to Improve the Success Rate of Software Projects, Program and Portfolio
Author(s) -
M Maria Antony Ranesh,
Justin Samuel
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1532.0982s1119
Subject(s) - process management , corporate governance , software project management , computer science , software , software development , portfolio , software engineering , software construction , knowledge management , business , engineering management , engineering , finance , operating system
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