Data science is a broad field that refers to the collective processes, theories, concepts, tools and technologies that enable the review, analysis and extraction of valuable knowledge and information from raw data. It is geared toward helping individuals and organizations make better decisions from stored, consumed and managed data. Data science... Read more
The waterfall model is a sequential software development process model that follows the following defined phases:
Using the software development life cycle's (SDLC) common steps, the waterfall model enforces moving to the next phase only after completion of the previous phase. Returning to a previous phase is frowned upon unless there is a clear need to do so.
As its name implies, the phases in the waterfall model consistently progress downward. These phases should be followed in sequence to be effective, and in some industries - such as construction and manufacturing - the process must be followed. In theory, the waterfall model sounds like a good practice, but it has been criticized by many in the software development industry. First, an SDLC phase cannot be perfected before moving to the following phase. Also, in its literal form this model lacks flexibility for requirement and design adjustments, which makes it highly difficult for programmers and developers to integrate design adjustments. However, there are some sound principles from the waterfall model that can be applied to successful software development. This is a partial list of these principles:
The waterfall model was an early attempt to provide structure, metrics and control to the development of large and complex application systems, usually mainframe systems.
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