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Release early, release often (also known as ship early, ship often, or time-based releases, and sometimes abbreviated RERO) is a software development philosophy that emphasizes the importance of early and frequent releases in creating a tight feedback loop between developers and testers or users, contrary to a feature-based release strategy.
Release management is the process of managing, planning, scheduling and controlling a software build through different stages and environments; it includes testing and deploying software releases. [ 1 ] [ 2 ]
Application-release automation (ARA) refers to the process of packaging and deploying an application or update of an application from development, across various environments, and ultimately to production. [1] ARA solutions must combine the capabilities of deployment automation, environment management and modeling, and release coordination. [2]
The engineering design process, also known as the engineering method, is a common series of steps that engineers use in creating functional products and processes. The process is highly iterative – parts of the process often need to be repeated many times before another can be entered – though the part(s) that get iterated and the number of such cycles in any given project may vary.
An action axiom tests a condition (antecedent) and, if the condition has been met, then (consequent) it suggests (mandates) an action: from knowledge to action. A decision model may also be a network of connected decisions, information and knowledge that represents a decision-making approach that can be used repeatedly (such as one developed ...
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Each tool has a different method of interacting with the system some are agent-based, push or pull, through an interactive UI. Similar to adopting any DevOps tools, there are barriers to bring on CCA tools and factors that hinder and accelerate adoption. [6] Notable CCA tools include:
Robust decision methods seem most appropriate under three conditions: when the uncertainty is deep as opposed to well characterized, when there is a rich set of decision options, and the decision challenge is sufficiently complex that decision-makers need simulation models to trace the potential consequences of their actions over many plausible ...