Agile Software Development

Which Deployment Model is Best For Your Business?

Are you looking to add more structure to your software development workflow? Industry experts believe that a software development project’s success is based on the methodology you use in managing its life cycle. The selection of a method is mainly dependent on your team’s goals, size, and other factors. In this article at Market Business News, Stephanie Ross discusses the top software development methodologies that help you decide what is right for your team.

Top Software Development Methodologies


This method is one of the oldest and most traditional of all software development methodologies. The waterfall approach involves a linear development process with sequential phases analysis, design, development, testing, implementation, and maintenance. “With this method, you can greatly improve stakeholder confidence and process efficiency. In short, the waterfall method of software development is best suited for plan-driven teams who clearly understand the project,” says Ross.


The framework heavily borrows from Agile’s foundational philosophy and beliefs around team collaboration. Under this methodology, the software is developed in iterative cycles with smaller goals. The Scrum framework demands the team to be more experienced, self-organized, and self-managed for an undertaken project to be successful.


It is a set of practices established to support the organizational culture. DevOps deployment framework helps improve collaboration among the various departments involved in project lifecycles such as operations, development, and quality assurance. This collaboration enables developers to automate testing and improve application management for more efficient software releases.


The Agile methodology requires stronger collaboration among cross-functional teams and their customers to build a successful product. Responsiveness to changing requirements is the hallmark of this methodology. This approach allows teams to identify and fix defects and align expectations early in the process. However, this methodology is effort-intensive because each feature planned for deployment must be completed within each iteration for user approval.

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