Prioritization Based Taxonomy of DevOps Challenges Using Fuzzy AHP Analysis

The DevOps (development and operations) is a collaborative software development environment which offers the continues development and deployment of quality software project within short time. The DevOps practices are not yet mature enough, and the software organizations hesitate to adopt it. This s...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.202487-202507
Main Authors: Akbar, Muhammad Azeem, Naveed, Wishal, Mahmood, Sajjad, Alsanad, Abeer Abdulaziz, Alsanad, Ahmed, Gumaei, Abdu, Mateen, Ahmed
Format: Article
Language:English
Subjects:
Analytic hierarchy process
Bibliographies
challenges
Collaborative software
DevOps
fuzzy AHP
Hierarchies
Industries
Literature reviews
Organizations
Software
Software development
Software development tools
systematic literature review
Systematics
Taxonomy
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Summary:The DevOps (development and operations) is a collaborative software development environment which offers the continues development and deployment of quality software project within short time. The DevOps practices are not yet mature enough, and the software organizations hesitate to adopt it. This study aims: 1) to explore the DevOps challenges by conducting systematic literature review (SLR) and to get the insight of industry experts via questionnaire survey study and 2) to prioritize the investigated challenges using fuzzy analytical hierarchy process (FAHP). The study findings provide the set of critical challenges faced by the software organizations while adopting DevOps and a prioritization-based taxonomy of the DevOps challenges. The application of FAHP is novel in this research area as it assists in addressing the vagueness of practitioners concerning the influencing factors of DevOps. We believe that the finding of this study will serve as a body of knowledge for real world practitioners and researchers to revise and develop the new strategies for the successful implementation of DevOps practices in the software industry.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3035880