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What are the common software development life cycle (SDLC) models?

The Software Development Life Cycle (SDLC) is a structured process that outlines the stages through which software goes from concept to completion. Here are some common SDLC models:

  1. Waterfall Model: This is a linear sequential flow where progress moves through distinct phases. Once a phase is completed, it moves to the next without overlapping. For example, in a software project, you might start with requirements gathering, then move to design, implementation, testing, deployment, and maintenance.

  2. Agile Model: This model emphasizes flexibility and collaboration. It involves iterative and incremental development, allowing for changes to be made throughout the development process. An example of Agile is Scrum, where a team works in sprints to deliver small pieces of functionality.

  3. Iterative Model: This model involves developing a software product in iterations, where each iteration adds functionality to the previous one. It allows for feedback and refinement at each stage. An example is building a web application where each feature set is developed and tested in iterations.

  4. Spiral Model: Combining elements of both design and prototyping-in-stages, in an effort to combine advantages of top-down and bottom-up concepts, this model is suited for large, expensive, and complicated projects.

  5. V-Model: Also known as the Verification and Validation model, it is an extension of the Waterfall model. In this model, testing is done at each stage of development to ensure that all requirements are met.

  6. DevOps Model: This model integrates software development (Dev) and IT operations (Ops) to shorten the systems development life cycle and provide continuous delivery with high software quality. It emphasizes collaboration between teams.

For cloud-based software development, platforms like Tencent Cloud offer services that can support various SDLC models. For instance, Tencent Cloud's Cloud Development Platform provides tools for continuous integration and delivery, which are essential for Agile and DevOps models. It also offers scalable infrastructure that can adapt to the changing needs of different SDLC phases.