Prioritization Based Taxonomy of DevOps Challenges Using Fuzzy AHP Analysis
| Autor: | Wishal Naveed, Abdu Gumaei, Ahmed Alsanad, Sajjad Mahmood, Muhammad Azeem Akbar, Ahmed Mateen, Abeer Abdul-Aziz Alsanad |
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| Rok vydání: | 2020 |
| Předmět: |
DevOps
Process management General Computer Science Computer science business.industry systematic literature review General Engineering Questionnaire challenges 020207 software engineering 02 engineering and technology fuzzy AHP Body of knowledge Software Systematic review Software deployment 020204 information systems Taxonomy (general) 0202 electrical engineering electronic engineering information engineering General Materials Science lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 8, Pp 202487-202507 (2020) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2020.3035880 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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