What is the difference between Scenario Outline and Examples in Cucumber?
- Examples are used only for documentation purposes
- Examples provide concrete values for placeholders
- Scenario Outline defines a template for scenarios
- Scenario Outline is deprecated in Cucumber
Scenario Outline in Cucumber defines a template for scenarios with placeholders, and Examples provide concrete values for these placeholders, allowing for the creation of multiple scenario instances with different input values. Scenario Outline is a powerful feature for creating reusable and maintainable scenarios in a concise manner. It is essential to understand the distinction between these two concepts to effectively use Cucumber in behavior-driven development (BDD).
Scenario: In the middle of the SDLC, the development team decides to skip functional testing due to time constraints. What potential risks does this decision pose to the project?
- Enhanced efficiency as testing activities are expedited
- Improved collaboration between development and testing teams
- Increased likelihood of undetected defects affecting software quality and reliability
- Reduced project costs due to streamlined processes
Skipping functional testing in the middle of the SDLC heightens the risk of undetected defects, jeopardizing software quality. This decision may lead to increased post-release issues, customer dissatisfaction, and overall project failure.
The primary function of test execution tools is to execute _______________ according to predefined test cases.
- Code
- Test Environment
- Test Scenarios
- Test Scripts
Test execution tools primarily focus on executing Test Scripts according to predefined test cases. These scripts are automated sequences of actions that simulate user interactions with the software, ensuring that the application behaves as expected and meets the specified requirements.
Pairwise testing can be combined with other testing techniques such as _______________ to enhance test coverage.
- Boundary Value Analysis
- Decision Table Testing
- Equivalence Partitioning
- Risk-based Testing
Pairwise testing can be combined with other testing techniques such as Boundary Value Analysis to enhance test coverage. Integrating pairwise testing with techniques like boundary value analysis helps address specific test scenarios and ensures a more thorough exploration of potential issues.
Scenario: An elevator control system is being tested. When the "door open" button is pressed, the elevator should transition from the "door closed" state to the "door open" state. However, during testing, it is found that the elevator remains in the "door closed" state. What type of issue does this represent in State Transition Testing?
- Correct State Transition "door closed" to "door open"
- Extra Transition from "door closed" to "door open"
- Incorrect State "door closed"
- Missing Transition from "door closed" to "door open"
The issue represents a missing transition in State Transition Testing. The expected transition from the "door closed" to the "door open" state is not occurring, indicating a flaw in the state transition logic of the elevator control system. Identifying and addressing this issue is crucial for proper functionality.
In test data management, _______________ involves creating synthetic data that closely resembles production data.
- Data Cloning
- Data Generation
- Data Profiling
- Data Purging
Data generation in test data management involves creating synthetic data that closely resembles production data. It helps in testing various scenarios without compromising real data.
The "Given-When-Then" structure in Cucumber scenarios helps in creating _______________.
- Test Cases
- Test Data
- Test Plans
- Test Scripts
The "Given-When-Then" structure in Cucumber scenarios helps in creating test cases. This structure provides a clear and standardized way to define the initial state (Given), the action or event (When), and the expected outcome (Then), facilitating the creation of comprehensive and understandable test cases.
The test _______________ is responsible for coordinating the execution of test cases.
- Driver
- Environment
- Manager
- Plan
The test driver is responsible for coordinating the execution of test cases. It acts as a component that calls the test procedures and passes test data, facilitating the systematic execution of tests and ensuring comprehensive coverage of the software's functionalities.
How can AI and Machine Learning enhance the efficiency of functional testing tools?
- Adaptive Test Automation
- Limited Support for Test Scripting Languages
- Manual Test Case Execution
- Static Code Analysis
AI and Machine Learning can enhance the efficiency of functional testing tools through adaptive test automation. These technologies can analyze application changes, adapt test scripts accordingly, and self-heal in response to modifications. This adaptive capability significantly reduces the maintenance efforts in test automation, improving efficiency.
Scenario: A vending machine is undergoing testing to ensure proper functionality. During testing, it is observed that when a product is out of stock, the machine remains in the "selection" state without transitioning to another state. What should be done next?
- Ignore the issue
- Redesign the entire vending machine system
- Report the issue and move on with testing
- Revise the State Transition Diagram
In State Transition Testing, when a system remains in a state without transitioning correctly, revising the State Transition Diagram is essential. This helps identify and rectify the flow of states and transitions, ensuring that the vending machine functions as intended in all scenarios.