Test Automation Success Factors Quiz L

<p>When designing a TAA (C)</p> Signup and view all the answers

<p>Selecting tools that will be used to stimulate and observe test interfaces (D)</p> Signup and view all the answers

<p>The test definition can be completed without knowledge of the tool that will be used for execution (B)</p> Signup and view all the answers

<p>The use of abstraction in the implementation (D)</p> Signup and view all the answers

<p>Controllability (B)</p> Signup and view all the answers

<p>Observability (A)</p> Signup and view all the answers

<p>Investigate if automation is possible via the APIs used to interface with the third party software (B)</p> Signup and view all the answers

<p>Explore the possibility of configuring the tool to turn off unnecessary features (B)</p> Signup and view all the answers

<p>Investigate if automation is possible via the APIs used to interface with the third party software (B)</p> Signup and view all the answers

<p>If the interfaces are not disabled before release, there could be a security risk (A), Because there is a high level of intrusion, there may be false alarms generated (D)</p> Signup and view all the answers

<p>Test Generation Layer (C)</p> Signup and view all the answers

<p>Test environment (B)</p> Signup and view all the answers

<p>Complexity to automate (D)</p> Signup and view all the answers

<p>A manual test case (C)</p> Signup and view all the answers

<p>Broad and deep (D)</p> Signup and view all the answers

<p>Test Designers with domain expertise (C)</p> Signup and view all the answers

<p>To ensure that the fix works and continues to work (B)</p> Signup and view all the answers

<p>Run a set of tests containing both passes and fails and verify that the results are consistent (C)</p> Signup and view all the answers

<p>Install the TAS into the SUT environments from a central repository (C)</p> Signup and view all the answers

<p>Check that the post conditions of each test case are being verified correctly (C)</p> Signup and view all the answers

<p>Execute test cases with known failures and verify that they continue to fail (A)</p> Signup and view all the answers

<p>Establish an error recovery process in the TAS and ensure all test cases are using that process (A)</p> Signup and view all the answers

<p>Modify the adaptation layer in the TAA to enable the TAS to test via the APIs (D)</p> Signup and view all the answers

<p>Ensure the latest libraries are incorporated into the TAS (C)</p> Signup and view all the answers

<p>1,4,5 (@)</p> Signup and view all the answers

<p>It should integrate with a common third party tool (A)</p> Signup and view all the answers

<p>Automate collection of the test execution results (D)</p> Signup and view all the answers

<p>The automated testware can be used to report this information to a database and a dashboard can be created from the data in the database that will show the trends in passed/failed test cases (B)</p> Signup and view all the answers

<p>A TAS that uses standard names will be easier for a new person to learn (B)</p> Signup and view all the answers

<p>Compare the new and old TAS versions and assess the impact of any differences (A)</p> Signup and view all the answers

<p>The TAS must be modular, so key components can be replaced as needed (A)</p> Signup and view all the answers

<p>Evaluate the results engaging the stakeholders to gather their viewpoints (C)</p> Signup and view all the answers

<p>A non-critical project in order to mitigate any delays the TAS may cause (B)</p> Signup and view all the answers

Time efficiency is the main factor for success. It reduces testing time, allowing for faster feedback and quicker releases.

Documenting third-party dependencies and their licenses is crucial for maintaining a Test Automation System (TAS).

Introduce changes incrementally and test after each step to prevent widespread disruptions.

Time to execute automated tests is a useful metric to assess the solution's efficiency, especially after changes to it.

Enhancements to underlying testware provide more detailed information, improving analysis and understanding of test results.

Logging start and end times of test cases is essential for pinpointing issues and delays.

Including the responsible person in test execution reports ensures accountability for test results and addressing issues.

Detailed logs alone are insufficient; a summary of execution results is needed for overall understanding.

A test execution report should not include a detailed step-by-step log of each test action; a summary is sufficient.

Automation of certain test types is justified when it increases reliability by ensuring consistent execution without human error.

Evaluating the suitability of automating a manual test requires considering frequency of use, complexity, and compatibility with tools.

Reliability, stress, and performance tests are often effectively executed by automation, due to the need for consistency and comprehensive testing.

Ensuring system stability before automating reliability tests is crucial for successful automation. A stable system means fewer changes needed after automation.

Automating initialization steps is paramount to ensuring reliable regression tests by guaranteeing consistent environmental setups before each run.

Capturing and reusing dynamically created values in automated regression testing is essential for managing dependencies effectively while maintaining test consistency.

Avoiding data duplication in automated regression testing is essential to prevent errors and maintain data integrity.

Prioritize automation based on functional overlap in tests to achieve optimal automation efficiency; this means avoiding redundancy.

Automate new functionality after implementation and stabilization to reduce the risk of automating unstable features.

Automated confirmation tests should ideally have a narrow scope, focusing on specific changes or fixes to ensure targeted validations.

Implement the TAS with interface options to test and avoid interference with the System Under Test; this increases accuracy and reduces intrusion.

Test results must be consistent when repeating in order to confirm reliability and stability of the System Under Test.

To verify an automated test suite check if there are enough verification points (evidence of execution) to meet the desired results.

Consolidating multiple functions in a Test Automation System (TAS) improves performance and efficiency.

Analyze existing scripts for revisions or elimination, progressively implement changes to TAS components, refactor the TAS architecture, evaluate changes through test runs, optimize core TAS functions, and adhere to naming conventions and standards.

Define and publish usage guidelines for the TAS to ensure consistent use by stakeholders, and prevent future project failures caused by impatience in previous iterations of test automation solutions.

The test execution report summarizes the overall results, with a focus on pinpointing trouble spots or issues related with the failure of tests that are being run during production.

Pilot project should identify deployment risks such as random access memory (RAM) utilization inefficiencies. Identify problems early.

Employ abstraction in Test Automation Architecture (TAA) to decouple the system from the operating system; this allows for easier adaptation to different platforms.

Keyword-driven scripting is most suitable when the goal is to easily add test cases, reduce scripts, and lower maintenance costs.

The biggest risk to a TAS's scalability and maintainability is a poorly documented or unstructured set of TAS report tools.

In Agile software development, automated tests focus more on acceptance tests than component tests.

Collaboration between developers and test automation engineers is crucial to reduce risks of untestable code and non-standard practices during the development phase.

Switching to automated testing is justified due to faster execution, increased consistency of results, and effective regression testing. Maintenance is necessary.

Synchronizing different logs using timestamps allows linking related events, facilitating problem diagnosis.

Artificial intelligence can assist in data collection and analysis, for example by detecting changes in UI locators, and facilitating fixes.

The least concerns involving a test automation tool for multiple projects are having a multitude of features or how the tool handles installing libraries that might affect the target system; instead focus on scheduled updates affecting integration.

A tool's slow performance during a proof-of-concept suggests that it might be an unsuitable tool for intended purpose and should not be selected.

To diagnose issues with randomly generated data in test cases, log the data used by each test, the test case status, the number of executed cycles and the timing of each step to repeat the test.

Using a general Test Automation Architecture (gTAA) allows for compatibility with various software engineering approaches and technologies.

If an automation tool is causing performance issues during testing even with a properly setup System Under Test (SUT), the tool is not suitable.

Select a tool that has a modifiable test reporting component, logs necessary data, and easily handles various SUTs.

Time efficiency is the main factor because it reduces the time spent on testing, allowing for faster feedback and quicker releases. This is the primary goal of test automation.

Documenting third-party dependencies and their licenses is vital for effective maintenance. It ensures a clear understanding of modifications, usage, and potential impacts.

Introducing changes incrementally and testing after each step is the most effective way to prevent widespread disruptions and identify issues early.

The time to execute automated tests is a crucial metric. Changes can affect efficiency, leading to either a decrease (improvement) or increase (potential issue) in execution time.

Enhancements to testware provide more detailed information, like better logging, error messages, and reporting, which help in diagnosing issues and understanding test results.

This information allows testers to pinpoint anomalies or delays during execution. It's essential for diagnosing issues and understanding performance.

It ensures accountability for test failures, making it clear who is responsible for addressing and resolving issues.

Detailed logs lack a summary of execution results, which is crucial for quickly understanding the overall performance and identifying potential problems.

A test execution report does not usually include a detailed, step-by-step log of each test action. It focuses on providing a concise summary.

Automation ensures consistent execution without human error, increasing the reliability of test results, which is especially important for complex or repetitive tasks.

The cost of the manual testing process is not explicitly mentioned as a criterion for evaluating the suitability for automation. It is implied, but other factors like frequency, complexity, and tool support are the primary considerations.

These types of tests require extensive and consistent execution that is often impossible or impractical manually. Automation provides the necessary power and precision.

The current stage of the software product lifecycle and its stability are the most critical factors. A stable system means fewer changes needed after automation, which ensures reliable results.

Automating initialization steps is necessary to guarantee consistent environment setups, reducing the risk of false positives or negatives due to inconsistencies.

Capturing and reusing dynamically created values ensures consistency and data sharing between tests, effectively managing dependencies.

Data duplication can lead to conflicting results and errors, compromising the accuracy and reliability of test results.

Identifying and addressing functional overlap between tests helps optimize the automated test suite by reducing redundancy, making it more efficient.

New functionality is usually automated after implementation and stabilization, reducing the risk of automating unstable or incomplete features.

Confirmation tests focus on a narrow scope, verifying specific changes or fixes to ensure they work as intended without impacting other parts of the system.

Implementing the TAS with various test interface options is crucial to minimize intrusion into the SUT while ensuring accurate testing.

The result/verdict of the test should be consistent to ensure the SUT behaves as expected. If the result changes, it might indicate a problem.

Verifying that there are enough verification points (evidence of successful execution) in the test suite is key to ensure that it has achieved the expected results.

It improves TAS performance and efficiency by reducing redundancy, which can lead to a smoother and faster testing experience.

Poorly documented TAS report tools can lead to major problems with scalability and maintainability, as understanding the system becomes challenging.

In Agile software development, automated tests focus more on acceptance tests than on component tests. This aligns with the emphasis on user feedback and continuous integration within Agile methodologies.

Collaboration between developers and test automation engineers is essential to ensure testable code, prevent issues during development, and create a more efficient testing process.

Maintaining automated tests is crucial for ensuring reliability and consistency, especially as the SUT changes. Neglecting this can lead to inaccurate results.

Syncing logs with timestamps allows linking related events in different logs, providing a better understanding of the problem and facilitating accurate diagnosis.

Create large numbers of virtual users to simulate real-world usage and perform performance tests to determine the website's capacity limits. This identifies potential bottlenecks and helps resolve performance problems.

Automated installation scripts for the TAS and configuration management ensure consistent setup across different environments and platforms.

User acceptance testing is frequently used in a Preproduction environment as it allows business stakeholders to verify the final product before release.

AI can detect changes in UI locators and automatically update test cases using self-healing algorithms, simplifying maintenance and improving efficiency.

The least concerns for the scenario given are: a tool with many functionalities, even if not fully used, and the availability of release notes explaining how changes will affect integration. These concerns are relatively minor compared to other factors.

The flow model pattern combines page models and flow models, which is ideal for handling frequent changes and iteratively updating the GUI.

Test automation improves the consistency of test execution across test cycles, ensuring that every test is run the same way every time, leading to more reliable results.

The time to develop and maintain a test automation solution is not necessarily an advantage but rather a potential challenge. While it can save time in the long run, it is an upfront investment.

The data used by each test case and screenshots taken when tests fail are essential for debugging issues that are not consistent or predictable.

The report summarizes the overall test execution results, providing an overview of the performance and identifying potential areas for improvement.

The number of false-fail results, which occur when the test fails but it's not a true defect in the SUT but rather in the TAS, is a key metric for evaluating the effectiveness of the automation.

Suggest against using the tool if performance is a significant concern, even with appropriate hardware. The chosen tool should meet your needs in efficiency and reliability.