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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.
This is an accepted version of this page This is the latest accepted revision, reviewed on 17 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 ...
Specific tools and techniques, such as continuous integration, automated unit testing, pair programming, test-driven development, design patterns, behavior-driven development, domain-driven design, code refactoring and other techniques are often used to improve quality and enhance product development agility. [39]
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.
A simplified version of a typical iteration cycle in agile project management. The basic idea behind this method is to develop a system through repeated cycles (iterative) and in smaller portions at a time (incremental), allowing software developers to take advantage of what was learned during development of earlier parts or versions of the system.
PSP0 has 3 phases: planning, development (design, code, compile, test) and a post mortem. A baseline is established for current process measuring: time spent on programming, faults injected/removed and size of a program. In a post mortem, the engineer ensures all data for the projects has been properly recorded and analysed.
Software engineering is a branch of both computer science and engineering focused on designing, developing, testing, and maintaining of software applications.It involves applying engineering principles and computer programming expertise to develop software systems that meet user needs.
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 ...