Predicting DevOps Effectiveness in Information Technology (IT) Projects

In the dozen years since DevOps was introduced, the pace of the IT world hasincreased along with the demand for higher quality products and services with steadily decreasing turnaround rates. The principles and practices of DevOps alone cannot keep companies competitive in this evolving workplace, and many practitioners have adopted a hybrid, highly customized approach to the methods and practices they employ to achieve their specific project goals. For many, navigating the myriad of best practices, emerging tools and technologies, cultural changes, and personal skillsets necessary to take on DevOps can be daunting. This research introduces multivariate regression models that can predict the effectiveness of DevOps implementation in conjunction with other software development frameworks, methods, and practices. This research aims to provide IT managers with quantifiable data that can help make decisions regarding the implementation of DevOps, the adoption of other methodologies that complement DevOps, and the benefits of frequently used practices for effective project management.

Author

• Heine, Karen Marieke

Language

• en

Keyword

• Practices
• Framework
• DevOps
• Hybrid
• Methodology
• Software Development

Date created

• 2022

Type of Work

• Dissertation

License

• All rights reserved

Rights statement

• In Copyright

GW Unit

• Systems Engineering

Degree

• D.Engr.

Advisor

• Moreland, James D

Committee Member(s)

• Blackford, J.P.
• Etemadi, Amir

Persistent URL

•  https://scholarspace.library.gwu.edu/etd/zk51vh61x