ANZSCO Code:
263213

ICT Systems Test Engineer

Specifies, develops and writes test plans and test scripts, produces test cases, carries out regression testing, and uses automated test software applications to test the behaviour, functionality and integrity of systems, and documents the results of tests in defect reports and related documentation.

AI Job Impact

AI Productivity Impact

Remuneration Range

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Task List for ICT Systems Test Engineer

- Grouped by Duties

Test Planning and Development

Specifying Test Plans

  • Description: Developing and writing comprehensive test plans.
  • Software Enhancement: Use test management tools to create and manage test plans.
  • Automated Process: Automatically generate test plan templates based on project requirements.
  • AI/Augmentation Application: AI could suggest test cases based on previous project data and industry standards.
  • Potential Benefits: Faster test plan creation, more thorough and consistent test plans.
  • Developing Test Scripts

  • Description: Writing scripts for automating test cases.
  • Software Enhancement: Use script generation tools that support various programming languages.
  • Automated Process: Generate test scripts automatically from descriptions of test cases.
  • AI/Augmentation Application: AI could assist in writing efficient and effective test scripts.
  • Potential Benefits: Reduced scripting time, improved test script quality.
  • Testing Execution

    Carrying Out Regression Testing

  • Description: Performing regression tests to ensure that changes do not affect existing functionality.
  • Software Enhancement: Use automated testing tools to execute regression tests.
  • Automated Process: Automate the entire regression testing process, including scheduling and execution.
  • AI/Augmentation Application: AI could prioritize test cases based on impacted areas and historical testing data.
  • Potential Benefits: Faster testing cycles, reduced manual effort.
  • Testing System Behavior and Functionality

  • Description: Conducting tests to verify the behavior and functionality of systems.
  • Software Enhancement: Utilize behavior-driven development (BDD) tools.
  • Automated Process: Automatically run a series of predefined functional tests.
  • AI/Augmentation Application: AI could analyze test results to flag unusual behaviors.
  • Potential Benefits: Enhanced detection of functionality issues, less manual intervention required.
  • Utilizing Automated Test Software

  • Description: Using software applications to automate testing processes.
  • Software Enhancement: Implement test automation frameworks.
  • Automated Process: Automate tests using software that can execute pre-written scripts across multiple environments.
  • AI/Augmentation Application: AI could optimize test execution paths and resource allocations.
  • Potential Benefits: More efficient use of resources, increased testing coverage.
  • Documentation and Reporting

    Documenting Test Results

  • Description: Recording the results of tests in defect reports and related documentation.
  • Software Enhancement: Use test management tools to document and track test results.
  • Automated Process: Automatically generate test reports and log defects based on test outcomes.
  • AI/Augmentation Application: AI could analyze test results and suggest potential defects.
  • Potential Benefits: Improved accuracy and consistency in documentation, time saved on report generation.
  • Maintaining Defect Reports

  • Description: Producing and updating defect reports based on testing outcomes.
  • Software Enhancement: Use defect tracking systems to manage and update reports.
  • Automated Process: Automatically update defect reports as bugs are resolved or retested.
  • AI/Augmentation Application: AI could prioritize defects based on impact and likelihood of occurrence.
  • Potential Benefits: More efficient defect management, enhanced tracking and resolution.
  • Generating Test Metrics and Statistics

  • Description: Producing metrics and statistics on testing processes and outcomes.
  • Software Enhancement: Utilize testing analytics tools to gather and analyze data.
  • Automated Process: Automatically compile and generate metrics reports.
  • AI/Augmentation Application: AI could provide predictive analysis and insights based on historical data.
  • Potential Benefits: Informed decision-making, improved process optimization.

  • These enhancements can significantly improve the efficiency and effectiveness of ICT Systems Test Engineers by automating repetitive tasks, improving documentation accuracy, and providing actionable insights through AI Augmentation, Automation, and the use of LLM chat interfaces.

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