The DevOps Lab Platform for Managing Diversified Projects in Educating Agile Software Engineering

Bai, Xiaoying; Pei, Dan; Li, Mingjie; Li, Shanshan

doi:10.1109/fie.2018.8658817

Cited by 8 publications

(6 citation statements)

References 11 publications

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“…Most recently, DevOps has emerged to deal with this vital concern by enabling the integration of development and operations abilities to complement the current agile approaches [1,2]. DevOps approach provides developers with concepts, practices, and tools to enable automation, continuous integration, and fast deployment and delivery on the cloud [5,58].…”

Section: Discussionmentioning

confidence: 99%

“…Strongly disagree: The participants strongly disagreed with the statement. (2), and (3). Equation 1describes the Chi-squared that calculates the probability p value (0 ≤ p ≤ 1) and compares it to a critical value α = 0.01.…”

Section: Survey Designmentioning

confidence: 99%

“…The DRA is founded on the concepts and practices of DevOps [2,3]. DRA uses the multi-cloud ecosystem to support the deployment of IoT applications [21,58].…”

Section: The Dra Overviewmentioning

confidence: 99%

“…DevOps has emerged as a practical approach to software development in the context of agile [1,2]. DevOps enables automation, continuous integration, monitoring, and team collaboration [3,4] to assist the fast deployment and delivery of quality software [5].…”

Section: Introductionmentioning

confidence: 99%

“…The DRA architectural design is founded on five models: (1) contextual, (2) conceptual, (3) logical, (4) physical, (5) operational. DRA was constructed using the guidelines of the design science research (DSR) method [12].…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the DevOps Reference Architecture for Multi-cloud IoT-Applications

Ghantous

Gill

2021

SN COMPUT. SCI.

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DevOps originated in the context of the agile development aims to enable the continuous deployment of software applications in small releases. Most recently, organizations are taking a significant interest in adopting DevOps for automatically deploying IoT applications to multi-cloud. The interest is there; however, the challenge is how to achieve this. A new DevOps reference architecture (DRA) framework has been iteratively developed to address this challenge. This paper presents the updated DRA framework and its empirical evaluation results. The empirical evaluation is composed of two phases: (1) industry case study evaluation conducted in an IT organization, and (2) industry field survey with a cohort of experts in software engineering. The evaluation aims to determine the applicability and novelty of the DRA framework. The evaluation results indicate that the DRA is fit for its intended purpose and is expected to help both researchers and practitioners. The DRA uses can architect complex design models for the purpose of supporting the automated development stage of software applications. Software engineers can implement the DRA models for deploying complex IoT application to the multi-cloud environment in the current organization development parameters.

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Section: Discussionmentioning

confidence: 99%

Section: Survey Designmentioning

confidence: 99%

“…The DRA is founded on the concepts and practices of DevOps [2,3]. DRA uses the multi-cloud ecosystem to support the deployment of IoT applications [21,58].…”

Section: The Dra Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%