modeling

Choosing the best modeling approach involves evaluating your requirements to select dataflow, state machine, or hybrid design. This decision process yields a non-implementation design artifact with traceable rationale to guide your architecture.

Use a state machine design when your requirements focus on behavioral flows and state transitions. Conversely, apply a dataflow model when planning data transformations and pipeline-oriented architectures, selecting a hybrid approach when both aspects matter to your system.

The best way to document design rationale is by generating a non-implementation design artifact that captures your modeling approach decision. This provides an initial design sketch and traceable reasoning to facilitate stakeholder alignment during feature exploration.

Yes, you can use modeling guidance for requirements analysis without writing code. It operates strictly on non-implementation design artifacts, helping stakeholders align on architecture strategy and modeling decisions before any development begins.

Yes, a hybrid modeling approach integrates dataflow and state management effectively. It provides specific guidance for combining pipeline-oriented data transformations with behavioral state transitions when both aspects are critical to your architecture.

Selecting a single modeling strategy for complex workflows risks misaligning with requirements that demand both data transformations and state transitions. Using a hybrid approach prevents this limitation by integrating dataflow and state management within your architecture design.