Leveraging Fitness Functions to Assess Cloud Migration Readiness of Clean Architecture
摘要
Fitness functions quantitatively assess how well a specific architecture complies with its stated architectural goals. In test-driven development, we write tests to ensure the system’s features match the intended business results. But when we turn our attention to fitness function development, we take this idea one step further and create tests that measure how well the system adheres to design goals. During our research, we found that two essential routes - applying architectural rule tests and enforcing design rules - are necessary to reach our objective. These two components cooperate to guarantee that the system’s architecture is solid and consistent with its intended purpose. We deliberately use a public domain project built with.NET to achieve this goal. This project best exemplifies a design philosophy emphasizing the division of concerns and the autonomous deployment of system components, known as Clean Architecture. This study aims to improve software engineering by encouraging the use of fitness functions earlier in the development lifecycle and improving strategic planning for cloud migrations. Creating a clear and established methodology for migration evaluation will enable this aspect. After reviewing the initial step, we introduced an additional public repository, which included creating 26 fitness functions to assess the Clean Architecture. This strategic integration allowed us to use Fitness Functions Driven Development to streamline the code reworking process, providing a smooth transition to a cloud environment. These utilities help to confirm that the product is ready for any cloud migration so that it may move to a new environment without losing any of its features or performance.