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This is an accepted version of this page This is the latest accepted revision, reviewed on 25 February 2025. Integration of software development and operations DevOps is the integration and automation of the software development and information technology operations [a]. DevOps encompasses necessary tasks of software development and can lead to shortening development time and improving the ...
In software engineering, a software development process or software development life cycle (SDLC) is a process of planning and managing software development. It typically involves dividing software development work into smaller, parallel, or sequential steps or sub-processes to improve design and/or product management .
The MDE approach is meant to increase productivity by maximizing compatibility between systems (via reuse of standardized models), simplifying the process of design (via models of recurring design patterns in the application domain), and promoting communication between individuals and teams working on the system (via a standardization of the terminology and the best practices used in the ...
The aim is to increase early defect discovery, increase productivity, and provide faster release cycles. The process contrasts with traditional methods where a collection of software updates were integrated into one large batch before deploying the newer version. Modern-day DevOps practices involve: continuous development, continuous testing,
Scrum Agile events, based on The 2020 Scrum Guide [1]. Scrum is an agile team collaboration framework commonly used in software development and other industries.. Scrum prescribes for teams to break work into goals to be completed within time-boxed iterations, called sprints.
The main planning process within extreme programming is called the Planning Game. The game is a meeting that occurs once per iteration, typically once a week. The planning process is divided into two parts: Release Planning: This is focused on determining what requirements are included in which near-term releases, and when they should be ...
The process is part of software engineering which also includes organizational management, project management, configuration management and other aspects. [1] Software development involves many skills and job specializations including programming, testing, documentation, graphic design, user support, marketing, and fundraising.
MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software ...
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