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Because software, unlike a major civil engineering construction project, is often easy and cheap to change after it has been constructed, a piece of custom software that fails to deliver on its objectives may sometimes be modified over time in such a way that it later succeeds—and/or business processes or end-user mindsets may change to accommodate the software.
For example, a project may have a "stable" branch from which new versions of the software are released, and a separate "development" branch in which the developers add new code. The effect of a freeze is then to prevent promotion of some or all changes from the development branch to the stable branch. In other words, the freeze applies only to ...
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.
ALM is a broader perspective than the Software Development Life Cycle (SDLC), which is limited to the phases of software development such as requirements, design, coding, testing, configuration, project management, and change management. ALM continues after development until the application is no longer used, and may span many SDLCs.
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 first five items in the list above show the difficulties articulating the needs of the client in such a way that proper resources can deliver the proper project goals. Specific software project management tools are useful and often necessary, but the true art in software project management is applying the correct method and then using tools ...
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Lean startup is a methodology for developing businesses and products that aims to shorten product development cycles and rapidly discover if a proposed business model is viable; this is achieved by adopting a combination of business-hypothesis-driven experimentation, iterative product releases, and validated learning.