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| Section | Objectives |
|---|---|
| Preparing for Test Automation | - SUT Testability (Observability and Controllability) - Design for Testability - Evaluating automation tools and technologies - Tool Selection and evaluation for specific technology stacks |
| Introduction and Objectives for Test Automation | - Test automation within different software development lifecycle models - How SUT (System Under Test) architecture impacts test tool suitability - Benefits and limitations of test automation |
| Test Automation Reporting and Metrics | - Proving value to stakeholders - Logging: detailed logs for debugging vs. high-level summaries - Selecting appropriate metrics (e.g., percent automated, defect detection rate) - Visualizing results for different audiences (technical vs. management) |
| Continuous Improvement | - Analyzing and adapting the test automation strategy over time - Upgrading tools and libraries - Refactoring test code - Streamlining test suites (removing obsolete tests) - Maintaining automated testing assets |
| Verifying the Test Automation Solution (TAS) | - Verifying that the automation code itself is correct - Checking the test environment setup - Automated test suite verification |
| Implementation of Test Automation | - Test data management - Integration of test automation with CI/CD pipelines - SUT-specific adaptors - Configuration management in test automation - Test automation solution (TAS) implementation - Test environment configuration (URLs, Credentials, Test data, Common core library) |
| The Generic Test Automation Architecture (gTAA) | - Approaches for automating test cases - Layering of test automation frameworks (Test Generation, Test Definition, Test Execution, Test Adaptation layers) - Capabilities in a test automation architecture - Tailoring gTAA to create a specific Test Automation Architecture (TAA) - Designing a test automation solution - Design principles and design patterns in test automation (Abstraction, Modularity, Separation of data from scripts) |
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NEW QUESTION # 16
Youare using a gTAA to create a TAS for a project. The TAS is aimed specifically at automating a suit of existing manual test cases for standalone desktop applications. All the interfaces between the TAS and SUT will be from the CUI of the application.
Whichof the following layers of the gTAA should you focus on for the TAS?
Answer: C
NEW QUESTION # 17
Consider a TAS that uses a keyword-driven framework. The SUT is a web application and there is a large set of keywords available for writing the automated tests that relate to highly specific user actions linked directly to the GUI of the SUT. The automated test written with the keywords are statically analyzed by a custom tool which highlight's repeated instances of identical sequence of keywords. The waiting mechanism implemented by the TAS for a webpage load is based on a synchronous sampling within a given timeout. The TAS allows checking a webpage load every seconds until a timeout value
Answer: D
NEW QUESTION # 18
Consider choosing an approach for the automated implementation of manual regression test suites written at the UI level for some already developed web apps. The TAS is based on a programming language that allows the creation of test libraries and provides a capture/playback feature that allows recognition and interaction with all widgets in the web UIs being tested. The automated tests will be implemented by team members with strong programming skills. The chosen approach should aim to reduce both the effort required to maintain automated tests and the effort required to add new automated tests. Which of the following approaches would you choose?
Answer: D
Explanation:
TAE guidance links maintainability and scalability to reducing duplication and encapsulating common actions behind reusable abstractions. For UI regression suites on existing web apps, capture/playback and linear scripting often produce brittle, duplicated sequences tightly coupled to UI details. They may be quick initially, but maintenance cost grows rapidly when locators, flows, or timing change. With a programming language that supports libraries-and a team with strong programming skills-TAE recommends structured scripting (often including modularization, reuse through functions/classes, and design patterns such as Page Object or similar abstractions). Structured scripting reduces maintenance by centralizing UI interaction logic (e.g., element locators and common workflows) so changes are made in one place. It also reduces effort to add new tests because test authors can compose new scenarios from existing reusable building blocks rather than duplicating low-level steps. TDD is a development practice and is not the primary approach for converting existing manual UI regression suites into automation; it does not directly describe how the UI tests should be structured. Capture/playback remains useful as a helper (e.g., for quickly discovering locators) but is not the best overall approach for long-term maintainability. Therefore, structured scripting best matches the stated goals.
NEW QUESTION # 19
You are evaluating the best approach to implement automated tests at the UI level for a web app. Specifically, your goal is to allow test analysts to write automated tests in tabular format, within files that encapsulate logical test steps related to how a user interacts with the web UI, along with the corresponding test data. These steps must be expressed using natural language words that represent the actions performed by the user on the web UI. These files will then be interpreted and executed by a test execution tool. Which of the following approaches to test automation is BEST suited to achieve your goal?
Answer: D
Explanation:
The described goal matches the defining characteristics of keyword-driven testing: tests are expressed using keywords (action words) that represent user operations, often arranged in tabular form with parameters/test data. TAE describes keyword-driven approaches as enabling non-programmers (e.g., test analysts) to create and maintain tests by combining high-level keywords such as "Open Browser," "Click," "Enter Text,"
"Select," "Verify Text," etc., while the underlying automation framework maps those keywords to executable code. The use of files interpreted by a test execution tool is also typical: keyword tables (or similar structured specifications) are read and executed by the automation engine. Data-driven testing focuses on separating test logic from test data, typically running the same script multiple times with different datasets; it does not inherently require natural-language action words or tabular step definitions (though it can be combined).
Linear scripting is code-centric and not aligned with analyst-authored natural language step tables. TDD is unrelated to the requirement of tabular, natural-language keyword specification for UI test steps. Therefore, keyword-driven testing is the best fit for the stated approach.
NEW QUESTION # 20
Which of the following attributes should NOT be included in a test execution report associated with a suite of automated tests?
Answer: C
NEW QUESTION # 21
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