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An Advanced Level Technical Test Analyst can:

- recognize and classify the typical risks associated with the performance, security, reliability, portability and maintainability of software systems;

- provide technical elements to the planning, design and execution of tests for mitigating performance, security, reliability, portability and maintainability risks;

- select and apply appropriate white-box test techniques to ensure that tests provide an adequate level of confidence, based on design coverage;

- effectively participate in reviews with developers and software architects applying knowledge of typical defects in the code and architecture;

- Boost the quality characteristics of code and architecture by making use of different analysis techniques;

- outline the costs and benefits to be expected from introducing particular types of test automation.

- select appropriate tools to automate technical testing tasks;

- understand the technical issues and concepts in applying test automation.



Learning Objectives

- Summarize the generic risk factors that the Technical Test Analyst typically needs to consider.

- Summarize the activities of the Technical Test Analyst within a risk-based approach for testing activities.

- Write test cases from a given specification item by applying the Statement testing test technique to achieve a defined level of coverage.

- Write test cases from a given specification item by applying the Modified Condition/Decision Coverage (MC/DC) test technique to achieve coverage.

- Write test cases from a given specification item by applying the Multiple Condition testing test technique to achieve a defined level of coverage.

- Write test cases from a given specification item by applying McCabe's Simplified Baseline Method.

- Understand the applicability of API testing and the kinds of defects it finds.

- Select an appropriate white-box test technique according to a given project situation.

- Use control flow analysis to detect if code has any control flow anomalies.

- Explain how data flow analysis is used to detect if code has any data flow anomalies.

- Propose ways to Boost the maintainability of code by applying static analysis.

- Explain the use of call graphs for establishing integration testing strategies.

- Apply dynamic analysis to achieve a specified goal.

- For a particular project and system under test, analyze the non-functional requirements and write the respective sections of the test plan.

- Given a particular product risk, define the particular non-functional test type(s) which are most appropriate.

- Understand and explain the stages in an applications lifecycle where non-functional tests should be applied.

- For a given scenario, define the types of defects you would expect to find by using non-functional testing types.

- Explain the reasons for including security testing in a test strategy and/or test approach.

- Explain the principal aspects to be considered in planning and specifying security tests.

- Explain the reasons for including reliability testing in a test strategy and/or test approach.

- Explain the principal aspects to be considered in planning and specifying reliability tests.

- Explain the reasons for including performance testing in a test strategy and/or test approach.

- Explain the principal aspects to be considered in planning and specifying performance efficiency tests.

- Explain the reasons for including maintainability testing in a testing strategy and/or test approach.

- Explain the reasons for including portability tests in a testing strategy and/or test approach.

- Explain the reasons for compatibility testing in a testing strategy and/or test approach.

- Explain why review preparation is important for the Technical Test Analyst.

- Analyze an architectural design and identify problems according to a checklist provided in the syllabus.

- Analyze a section of code or pseudo-code and identify problems according to a checklist provided in the syllabus.

- Summarize the activities that the Technical Test Analyst performs when setting up a test automation project.

- Summarize the differences between data-driven and keyword-driven automation.

- Summarize common technical issues that cause automation projects to fail to achieve the planned return on investment.

- Construct keywords based on a given business process.

- Summarize the purpose of tools for fault seeding and fault injection.

- Summarize the main characteristics and implementation issues for performance testing tools.

- Explain the general purpose of tools used for web-based testing.

- Explain how tools support the practice of model-based testing.

- Outline the purpose of tools used to support component testing and the build process.

- Outline the purpose of tools used to support mobile application testing.