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The product backlog is a breakdown of work to be done and contains an ordered list of product requirements (such as features, bug fixes and non-functional requirements) that the team maintains for a product. The order of a product backlog corresponds to the urgency of the task. Common formats for backlog items include user stories and use cases ...
Data refinement is used to convert an abstract data model (in terms of sets for example) into implementable data structures (such as arrays). [ citation needed ] Operation refinement converts a specification of an operation on a system into an implementable program (e.g., a procedure ).
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 product backlog is referred to with different names in different project management frameworks, such as product backlog in scrum, [61] [62] work item list in disciplined agile, [62] [63] and option pool in lean. [62] In the scrum framework, creation and continuous maintenance of the product backlog is part of the responsibility of the ...
The outstanding work (or backlog) is often on the vertical axis, with time along the horizontal. A burndown chart is a run chart of remaining work. It is useful for predicting when all of the work will be completed. It is often used in agile software development methodologies such as Scrum. However, burndown charts can be applied to any project ...
The software release life cycle is the process of developing, testing, and distributing a software product (e.g., an operating system). It typically consists of several stages, such as pre-alpha, alpha, beta, and release candidate, before the final version, or "gold", is released to the public.
Reliable releases: The risks associated with a release have significantly decreased, and the release process has become more reliable. With continuous delivery, the deployment process and scripts are tested repeatedly before deployment to production. So, most errors in the deployment process and scripts have already been discovered.
The following example is a simplified example of a system anatomy for an issue management system. This anatomy is drawn with the most basic capabilities at the top. The notation is that the capability at the end of the arrow is a dependent of the capability at the beginning. In this example the anatomy also shows development progress (blue boxes).