Handling complex test scenarios and edge cases
Handle complex test scenarios and edge cases by using proven test strategies. Ensure that your tests cover unexpected inputs, concurrency issues and boundary conditions.
Examples
// Example 1: Handling null inputs public void testNullInput() { String input = null; try { processInput(input); } catch (NullPointerException e) { System.out.println("Handled null input: " + e.getMessage()); } } // Example 2: Testing concurrency issues public void testConcurrency() throws InterruptedException { Runnable task = () -> { try { System.out.println("Running task"); Thread.sleep(1000); } catch (InterruptedException e) { e.printStackTrace(); } }; Thread thread1 = new Thread(task); Thread thread2 = new Thread(task); thread1.start(); thread2.start(); thread1.join(); thread2.join(); System.out.println("Handled concurrency issues"); } // Example 3: Checking boundary conditions public void testBoundaryConditions() { int[] testValues = {Integer.MIN_VALUE, -1, 0, 1, Integer.MAX_VALUE}; for (int value : testValues) { try { // processBoundaryValue(value); System.out.println("Processed value: " + value); } catch (Exception e) { System.out.println("Boundary condition error for value: " + value); } } }
FAQ (interview questions and answers)
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Why is it important to handle null inputs in test scenarios?
To increase test complexity
To prevent null pointer exceptions
To ignore invalid inputs
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What is a common issue when testing concurrency?
Longer execution time
Race conditions
Larger memory usage
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How do you handle boundary conditions in tests?
By testing min and max values
By ignoring edge cases
By only testing typical values
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Why are edge cases significant in testing?
They reveal potential flaws
They simplify testing
They are uncommon
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When should concurrency tests be performed?
Only for large applications
Never, concurrency is not an issue
For any multi-threaded code
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Race Condition
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