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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 ...
Slow programming aims to avoid bugs and overly quick release schedules. V-Model (software development) - an extension of the waterfall model; Unified Process (UP) is an iterative software development methodology framework, based on Unified Modeling Language (UML). UP organizes the development of software into four phases, each consisting of one ...
Agile software methodologies have also been adopted for use with the learning engineering process, an iterative data-informed process that applies the learning sciences, human-centered design, and data informed decision-making to support learners and their development.
Modern-day DevOps practices involve: continuous development, continuous testing, continuous integration, continuous deployment, and; continuous monitoring; of software applications throughout its development life cycle. The CI/CD practice, or CI/CD pipeline, forms the backbone of modern day DevOps operations.
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 waterfall model is a breakdown of developmental activities into linear sequential phases, meaning that each phase is passed down onto each other, where each phase depends on the deliverables of the previous one and corresponds to a specialization of tasks. [1]
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 ...
A DevOps toolchain is a set or combination of tools that aid in the delivery, development, and management of software applications throughout the systems development life cycle, as coordinated by an organisation that uses DevOps practices.
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