Identifying Topics and Trends in DevOps: A Study of Stack Overflow Posts

Elvira-Maria Arvanitou Ignatios S. Deligiannis Apostolos Ampatzoglou + 2 lainnya

2022

DevOps is an emerging software development methodology, that differs from more tradition-al approaches due to the closer involvement of the customer and the adoption of “continuous-*” (e.g., inte-gration, 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 incon-sistent 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 termi-nology. 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 map-ping of terms to topics. Along this process we highlight both inconsistencies—attempting to resolves ambi-guities, as well as topics and terms with high levels of consistency; aiding researchers and practitioners.

Mohammad Shameem Mohammad Nadeem Ankur Kumar

27 Oktober 2024

DevOps is a collaborative software development process where practitioners work as a team to continuously develop, deploy, and deliver software. DevOps practices still need to be mature, and practitioners face numerous challenges while considering DevOps as a software development process. The mainstream research community has helped simplify the DevOps adoption process and eliminate complexities by developing DevOps maturity models. However, the current maturity frameworks cannot measure every component of DevOps and do not mention metrics as parameters for measuring different DevOps practices or features. Therefore, this study aims to identify metrics for measuring practices and activities responsible for DevOps implementation. The systematic literature review (SLR) method was used to determine the metrics needed to measure DevOps practices. Using SLR, we have identified 32 metrics from 57 articles. The metrics identified in this study can be used to measure the impact of the practices adopted for DevOps implementation within software development organizations. Furthermore, we divided the identified metrics into Dev and Ops categories and five significant categories based on the DevOps lifecycle. The classification of metrics in our study into diverse regions provides a conceptual framework and understanding of DevOps measures.

Mohammad Shameem M. Nadeem Ankur Kumar

13 Juni 2022

Currently, the software development organizations are adopting DevOps practices in order to develop quality product. Due to the lack of definition of DevOps, the principles, practices, and methods adopted in DevOps to determine success have changed substantially. There are several benefits of DevOps can be achieved if the DevOps practices are implemented effectively and efficiently. This study has been conducted to identify the DevOps practices that contribute to achieve a high level of DevOps. The qualitative and interpretive approach have been used for analyzing the HELENA2 dataset. The maturity is calculated using 36 DevOps practices based on the four different classifications: (1) rarely used DevOps, (2) sometimes used DevOps, (3) often used DevOps, and (4) always used DevOps with the help of degrees of addressing 18 goals. The maturity score for the different categories indicates that organizations that use DevOps always are more mature to achieve goals than organizations that use it rarely.

Miguel Mira da Silva Ricardo Amaro Rúben Pereira

13 Maret 2024

Context: Information Technology organizations are aiming to implement DevOps capabilities to fulfill market, customer, and internal needs. While many are successful with DevOps implementation, others still have difficulty measuring DevOps success in their organization. As a result, the effectiveness of assessing DevOps remains erratic. This emphasizes the need to withstand management in measuring the implementation process with suitable DevOps Metrics. But what are these metrics? Objective: This research seeks to provide relevant DevOps Metrics to facilitate the efficiency of DevOps adoption and better analyze DevOps performance in enterprises. Method: A Multivocal Literature Review (MLR) is conducted, with 139 documents gathered and thoroughly examined from throughout the community, including books, scientific articles, white papers, conferences, among others. Results: This article conducts an extensive and rigorous MLR, contributing with a definition of DevOps Metrics, 22 main metrics, their definitions, importance, and categorization in sets of Key Performance Indicators, as well as exposing clear indicators on how to improve them. It is also discussed how metrics could be put into practice and what constitutes a change in the context of DevOps Metrics. The study’s outcomes will assist researchers and practitioners understand DevOps Metrics and how to better implement them.

Rita de Cássia de Faria Pereira J. Faustino M. Silva + 2 lainnya

11 Mei 2022

Among current IT work cultures, DevOps stands out as one of the most adopted worldwide. The focus of this culture is on bridging the gap between development and operations teams, enabling collaborative effort toward quickly producing software, without sacrificing its quality and support. DevOps is used to tackle a variety of issues; as such, there are differing benefits reported by authors when performing their analysis. For this research, we aim to reach consensus on the DevOps benefits reported in existing literature. To accomplish this objective, two systematic literature reviews. The first intends to find all benefits reported in the literature, while the second review will be used to map the benefits found in the first one with DevOps implementation case studies, providing empirical evidences of each benefit. To strengthen the results, the concept‐centric approach is used. During this research it was possible to observe that the most reported benefits are aligned with the DevOps premises of better collaboration between developers and operators, delivering software and products quicker. Based on DevOps implementation case studies, most reported benefits include a faster time to market as well as improvements in synergy and automation. Less reported benefits include a reduction in failed changes and security issues.