COMPARE

Decision tables and state machines

Conditions determine an outcome; states and events determine how a system evolves.

How these approaches differ and work together
QuestionDMN & decision tablesStatecharts & SCXML
QuestionWhat result follows from these inputs?What transition follows this event in the current state?
Useful exampleWorkshop eligibility from email and available placesA registration moves from waitlisted to offered to confirmed
Useful combinationA table decides whether an offer is allowedThe state machine controls the lifecycle after the decision

Try the distinction

You know who is eligible, but not whether an expired offer can be accepted. What is missing?

Open the reasoning

The lifecycle model needs an expired state or equivalent transition rule. Eligibility alone does not say which events remain valid over time.

Go deeper

Requirements & behavior · Standard notation

DMN & decision tables

Represent how input conditions produce an explicit decision outcome.

Intermediate
Precise behavioral models · Standard notation

Statecharts & SCXML

Describe which events can change a system’s state, including states where an action is no longer valid.

Intermediate