[HTML][HTML] DevOps critical success factors—A systematic literature review
N Azad, S Hyrynsalmi - Information and Software Technology, 2023 - Elsevier
Context: DevOps is a set of software development and operation practices and a recent
addition to a large family of different kinds of software process models. The model emerged …
addition to a large family of different kinds of software process models. The model emerged …
From theory to practice: Understanding DevOps culture and mindset
AV Jha, R Teri, S Verma, S Tarafder… - Cogent …, 2023 - Taylor & Francis
DevOps is a potential solution to time and quality restrictions in software development. It
aims to increase the frequency, quality, and speed of software delivery using automated …
aims to increase the frequency, quality, and speed of software delivery using automated …
Chasing metaverses: Reflecting on existing literature to understand the business value of metaverses
A Polyviou, IO Pappas - Information Systems Frontiers, 2023 - Springer
Metaverses refer to immersive virtual worlds in which people, places, and things of the
physical world are represented by their digital representations. The wide adoption of …
physical world are represented by their digital representations. The wide adoption of …
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 …
DevOps project management success factors: A decision‐making framework
Abstract Development and operations (DevOps) refer to the collaboration and
multidisciplinary organizational effort to automate continuous delivery of information systems …
multidisciplinary organizational effort to automate continuous delivery of information systems …
Putting AI ethics into practice: The hourglass model of organizational AI governance
The organizational use of artificial intelligence (AI) has rapidly spread across various
sectors. Alongside the awareness of the benefits brought by AI, there is a growing …
sectors. Alongside the awareness of the benefits brought by AI, there is a growing …
Riding a bicycle while building its wheels: the process of machine learning-based capability development and IT-business alignment practices
Purpose Recent advancements in Artificial Intelligence (AI) and, at its core, Machine
Learning (ML) offer opportunities for organizations to develop new or enhance existing …
Learning (ML) offer opportunities for organizations to develop new or enhance existing …
[HTML][HTML] Towards optimization of anomaly detection in DevOps
A Hrusto, E Engström, P Runeson - Information and Software Technology, 2023 - Elsevier
Context: DevOps has recently become a mainstream solution for bridging the gaps between
development (Dev) and operations (Ops) enabling cross-functional collaboration. The …
development (Dev) and operations (Ops) enabling cross-functional collaboration. The …
Prioritization of DevOps maturity models using Fuzzy TOPSIS
DevOps has become an increasingly popular approach to software development and
operations. DevOps has evolved rapidly in recent years, with numerous maturity models …
operations. DevOps has evolved rapidly in recent years, with numerous maturity models …
Software developers reasoning behind adoption and use of software development methods–a systematic literature review
TE Havstorm, F Karlsson - International journal of information …, 2023 - aisel.aisnet.org
When adopting and using a Software Development Method (SDM), it is important to stay true
to the philosophy of the method; otherwise, software developers might execute activities that …
to the philosophy of the method; otherwise, software developers might execute activities that …