Which statement best describes the purpose of a state transition diagram in software testing?
Think about how software behaves differently depending on user actions or system events.
A state transition diagram visually represents the states of a system and how it changes from one state to another when events occur. This helps testers understand possible behaviors and test transitions.
Given the following simple state machine code simulation, what will be the final state after processing the events?
class StateMachine: def __init__(self): self.state = 'Locked' def on_event(self, event): if self.state == 'Locked' and event == 'coin': self.state = 'Unlocked' elif self.state == 'Unlocked' and event == 'push': self.state = 'Locked' return self.state machine = StateMachine() events = ['coin', 'push', 'push', 'coin', 'coin'] for e in events: machine.on_event(e) print(machine.state)
Trace the state changes step by step for each event.
The machine starts Locked. 'coin' unlocks it, 'push' locks it again. The sequence ends with the state 'Unlocked'.
Which assertion correctly verifies that a state machine transitions from 'Idle' to 'Processing' after receiving a 'start' event?
state_machine = StateMachine() state_machine.state = 'Idle' state_machine.on_event('start')
Check the expected state after the 'start' event.
The assertion must confirm the state changed to 'Processing' after the event.
What is the bug in the following state transition code snippet?
class Door: def __init__(self): self.state = 'Closed' def on_event(self, event): if self.state == 'Closed' and event == 'open': self.state = 'Open' elif self.state == 'Open' and event == 'close': self.state = 'Closed' elif event == 'lock': self.state = 'Locked' return self.state
Consider if locking the door is allowed from all states.
The 'lock' event changes the state to 'Locked' regardless of the current state, which may allow locking an open door, which is usually invalid.
You are testing a vending machine with states: 'Idle', 'HasMoney', 'Dispensing', and 'OutOfStock'. Which set of test cases best covers all valid state transitions?
Think about covering all states and transitions between them.
Comprehensive testing requires covering all states and their valid transitions to ensure the machine behaves correctly in all scenarios.