Critical challenges to adopt DevOps culture in software organizations: A systematic review
DevOps is a set of practices and a cultural movement that aims to break down barriers
between development and operation teams to improve collaboration and communication …
between development and operation teams to improve collaboration and communication …
Capabilities and practices in DevOps: a multivocal literature review
Context. To meet the demands of customers and market, Information Technology (IT)
organizations are seeking to implement DevOps. While many succeed in DevOps adoption …
organizations are seeking to implement DevOps. While many succeed in DevOps adoption …
Software engineering for machine learning: A case study
Recent advances in machine learning have stimulated widespread interest within the
Information Technology sector on integrating AI capabilities into software and services. This …
Information Technology sector on integrating AI capabilities into software and services. This …
[HTML][HTML] Toward successful DevSecOps in software development organizations: A decision-making framework
Abstract Context Development and Operations (DevOps) is a methodology that aims to
establish collaboration between programmers and operators to automate the continuous …
establish collaboration between programmers and operators to automate the continuous …
An empirical taxonomy of DevOps in practice
RW Macarthy, JM Bass - 2020 46th euromicro conference on …, 2020 - ieeexplore.ieee.org
DevOps is described as a software engineering culture and philosophy that utilises cross-
functional teams to build, test and release software faster and more reliably through …
functional teams to build, test and release software faster and more reliably through …
[HTML][HTML] Burnout in software engineering: A systematic mapping study
Context: Burnout is a work-related syndrome that, similar to many occupations, influences
most software developers. For decades, studies in software engineering (SE) have explored …
most software developers. For decades, studies in software engineering (SE) have explored …
Machine learning operations: A survey on MLOps tool support
N Hewage, D Meedeniya - arXiv preprint arXiv:2202.10169, 2022 - arxiv.org
Machine Learning (ML) has become a fast-growing, trending approach in solution
development in practice. Deep Learning (DL) which is a subset of ML, learns using deep …
development in practice. Deep Learning (DL) which is a subset of ML, learns using deep …
Identification and prioritization of DevOps success factors using fuzzy-AHP approach
DevOps (development and operations) is a collaborative and multidisciplinary
organizational effort to automate continuous delivery of a software project with an aim to …
organizational effort to automate continuous delivery of a software project with an aim to …
DevOps benefits: A systematic literature review
J Faustino, D Adriano, R Amaro… - Software: Practice …, 2022 - Wiley Online Library
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 …
The focus of this culture is on bridging the gap between development and operations teams …
Machine learning based predictive modeling to effectively implement DevOps practices in software organizations
Abstract Development and Operations (DevOps) is a relatively recent phenomenon that can
be defined as a multidisciplinary effort to improve and accelerate the delivery of business …
be defined as a multidisciplinary effort to improve and accelerate the delivery of business …