Results 81 to 90 of about 18,525 (297)
DevOps implementation method and practice in software development outsourcing scenarios
Dianxin kexue, 2020 The current DevOps implementation research mainly focuses on the scenario of collaboration among different teams within the same company.The DevOps implementation issues in the development outsourcing scenario for the first time were clearly put forward ...
Baozhong WANG +4 more
doaj +2 more sources
DevOps Adoption: Eight Emergent Perspectives [PDF]
arXiv, 2021 DevOps is an approach based on lean and agile principles in which business, development, operations, and quality teams cooperate to deliver software continuously aiming at reducing time to market, and receiving constant feedback from customers. However, implementing DevOps can be a complex and challenging mission due it requires significant paradigm ...
arxiv
DevOps A Historical Review and Future Works [PDF]
arXiv, 2020 DevOps is an emerging practice to be followed in Software Development life cycle. The name DevOps indicates that its an integration of Development and Operations team. It is followed to integrate the various stages of the development lifecycle. DevOps is an extended version of the existing Agile method. DevOps aims at Continuous Integration, Continuous
arxiv
Foundational DevOps Patterns [PDF]
arXiv, 2023 Adopting DevOps practices is nowadays a recurring task in the industry. DevOps is a set of practices intended to reduce the friction between the software development (Dev) and the IT operations (Ops), resulting in higher quality software and a shorter development lifecycle.
arxiv
DEVOPS FOR MANUFACTURING SYSTEMS: SPEEDING UP SOFTWARE DEVELOPMENT
Proceedings of the Design Society, 2023 The increasing importance of software as an essential functional provider in products and processes requires that companies master the development capabilities to continiously and quickly deliver high-quality software features.
Till Blüher +3 more
semanticscholar +1 more source
Applied AI Letters, Volume 6, Issue 2, April 2025.This paper introduces a “normative‐descriptive‐prescriptive” framework to analyze decision‐making processes within machine learning (ML) workflows, aiming to maximize business value. By identifying discrepancies between ideal practices and actual decisions, the framework reveals common pitfalls such as data bias, misaligned metrics, and inadequate ...
Naveen Gudigantala +2 more
wiley +1 more source
IEEE Access, 2022 DevOps (“development and operations”) is a dominant and collaborative organizational effort to computerize simultaneously the supply of a software strategy with a theme to enhance software features.
Ubaid Ur Rehman +4 more
doaj +1 more source
Developer Operations and Engineering Multi-Agent Systems [PDF]
arXiv, 2021 In this paper, we propose the integration of approaches to Engineering Multi-Agent Systems (EMAS) with the Developer Operations (DevOps) industry best practice. Whilst DevOps facilitates the organizational autonomy of software teams, as well as the technological automation of testing, deployment, and operations pipelines, EMAS and the agent-oriented ...
arxiv
Periodicals of Engineering and Natural Sciences (PEN), 2023 Currently, the degree of knowledge about what DevOps really means and what it entails is still limited. This can result in an informal and even incorrect implementation in many cases.
César J. Pardo +2 more
semanticscholar +1 more source
Free range startups? Market scope, academic founders, and the role of general knowledge in AI
Strategic Management Journal, Volume 46, Issue 4, Page 1027-1079, April 2025.Abstract Research Summary High‐tech startups develop technologies, the market applicability of which can vary widely, enabling startups to target a range of market segments. Using a question‐driven approach to contrast startups with and without academic founders, we investigate the difference in the market applicability between the two groups on a ...
Shinjinee Chattopadhyay +2 more
wiley +1 more source