Key findings
GenAI will impact the role of Software Quality Assurance Analysts and Testers by enhancing tasks like quality control analysis and systems evaluation.
It will streamline decision-making processes through efficient information retrieval and data analysis.
While AI will not transform the work entirely, it will significantly improve operations monitoring and problem-solving capabilities.
The job will require adapting to AI assistance in tasks like programming and operations analysis, ensuring a more efficient and effective workflow.
How could AI or automation replace or complement job activities?
AI, automation, or LLMs like Chatgpt could automate activities such as identifying software defects, developing testing programs, designing test plans, documenting test procedures, updating automated test scripts, and conducting historical analyses of test results for Software Quality Assurance Analysts and Testers.
For example, AI could be used to automatically identify and document software defects, improving efficiency and accuracy in the testing process.
Job description
Develops and conducts software tests to find and understand software issues. Tests changes to systems before they are used. Records software problems using a bug tracking system and tells developers about them. Keeps a list of known issues. Might join discussions about software design to give ideas on how it should work and when it should be done.
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