What is Agile predictive or adaptive?

Agile is an adaptive SDLC because it prioritizes adaptability and flexibility. So, when there are sudden changes in requirements, agile can adapt to meet them without any difficulty. In agile, projects are divided into sprints or increments and each of them goes through the planning, designing, coding, testing, and review cycles providing continuous feedback and adaptation. Hence, any subsequent changes can be easily accommodated in this methodology.

What is the difference between predictive and adaptive approaches?

Here are the key differences between predictive and adaptive software development: 1. Assumption: Predictive assumes requirements are defined and static. Adaptive acknowledges uncertainty with a flexible and adaptable approach to cope with it. 2. Workflow: Predictive follows a sequential and linear process. Adaptive follows iterative development. 3. Planning: Planning is completed in the initial phase in predictive development. The cycle of planning, designing, coding, testing, and reviewing continues for every sprint in adaptive development. 4. Risk: Predictive development identifies and manages risks upfront. Continuous risk management is involved in adaptive development. 5. Suitability: A predictive development approach is more suitable for projects with well-defined requirements and expectations. Adaptive is best for projects with uncertainty and evolving requirements.

How is Agile adaptive and not predictive?

Agile is a popular methodology for projects with frequent changes in client requirements and demands. Unlike predictive development, it doesn’t consider requirements to be stable and strictly defined and provision for possible changes. These attributes are associated with adaptive development. So, agile is adaptive instead of predictive in nature.

Predictive vs Adaptive: Which Software Development Methodology Is Best?