Dissertation/Thesis Abstract

An Agile Success Estimation Framework for Software Projects
by Forney, Sandra J., D.Engr., The George Washington University, 2019, 262; 22618104
Abstract (Summary)

Organizations continually seek to leverage new and innovative ways to increase the likelihood of software project success. The meaning of project success varies widely across literature, yet most definitions declare a project successful if it delivers within budget, on time, with acceptable quality, and meets overall stakeholder objectives. Mature enterprises define project-specific success criteria based on organizational needs and have increasingly been leveraging Agile or lightweight development methodologies over traditional heavyweight methods, such as waterfall, to increase their rate of software project success. Selecting development methodologies to drive project success is largely heuristic, and there is no standard set of criteria nor rulesets available for project managers to readily apply to facilitate those decisions. This research paper summarizes the vast findings in the literature regarding software project success characterization for Agile and traditional projects and offers a framework to measure, assess, and predict the likelihood of meeting project success criteria based on user-defined project factors and success criteria. Data on software project factors and outcomes from the International Software Benchmarking Standards Group is analyzed to determine the statistical influence of known Agile critical success factors on the budget, time, quality, and stakeholder goal dimensions of project success, resulting in a prediction model and decision framework. The proposed Agile Success Estimation Framework for Software Projects addresses the lack of integrated Agile suitability and estimation tools to assist project managers and organizations in making informed decisions on the selection of Agile over other methodologies.

Indexing (document details)
Advisor: Grenn, Michael, Etemadi, Amir
Commitee: Malalla, Ebrahim
School: The George Washington University
Department: Engineering Management
School Location: United States -- District of Columbia
Source: DAI-A 81/2(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Engineering, Information Technology, Management
Keywords: Agile, Development methodology, Predictive model, Project management, Project success, Software
Publication Number: 22618104
ISBN: 9781085672672
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