Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1647
Title: Applying and Researching DevOps: A Tertiary Study
Authors: Arvanitou, Elvira-Maria
Ampatzoglou, Apostolos
Bibi, Stamatia
Chatzigeorgiou, Alexander
Deligiannis, Ignatios
Type: Article
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: DevOps
software development process
software engineering
tertiary study
Issue Date: 2022
Source: IEEE Access
Volume: 10
First Page: 61585
Last Page: 61600
Abstract: DevOps is an emerging software development methodology, that differs from more traditional approaches due to the closer involvement of the customer and the adoption of “ continuous -*” (e.g., integration, deployment, delivery, etc.) practices. The vast research on DevOps (including numerous secondary studies) published in a short timeframe, and the diversity of the authors’ research backgrounds (e.g., from a Dev or an Ops perspective), has inevitably produced a long list of investigated topics, which use inconsistent terminology. The goal of this study is to analyze literature reviews on DevOps with respect to: (a) the research topics in DevOps; (b) the terms that are mapped to each topic; and (c) the consistency of terminology. To achieve this goal, we have performed a tertiary study, i.e., a systematic mapping study that uses as primary studies “ Systematic Literature Reviews ” and “ Mapping Studies ”. For Data Extraction, Analysis, and Synthesis (DEAS) we propose a novel approach relying on thematic analysis , statistical analysis , and meta-analysis . The results unveiled 7 core topics on DevOps research, out of which DevOps features and DevOps practices are dominant ones. Additionally, as expected various terminology ambiguities have been identified, most between features as practices, as well as, between challenges faced before adopting DevOps and while applying DevOps. The main contribution of this study is the disambiguation of the mapping of terms to topics. Along this process we highlight both inconsistencies—attempting to resolves ambiguities, as well as topics and terms with high levels of consistency; aiding researchers and practitioners.
URI: https://doi.org/10.1109/ACCESS.2022.3171803
https://ruomo.lib.uom.gr/handle/7000/1647
ISSN: 2169-3536
Other Identifiers: 10.1109/ACCESS.2022.3171803
Appears in Collections:Department of Applied Informatics

Files in This Item:
File Description SizeFormat 
arvanitou2022access.pdf1,17 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.