A local business has a mail pickup/delivery robot for their office. The robot currently uses a track to move between pickup/drop off locations. When it arrives at a destination, the robot stops to allow a human to remove or deposit mail.
The office has decided to upgrade the robot to include AI capabilities that allow the robot to perform its duties without a track, without running into obstacles, and without human intervention.
The test team is creating a list of new and previously established test objectives and acceptance criteria to be used in the testing of the robot upgrade. Which of the following test objectives will test an AI quality characteristic for this system?
AI-based systems have specific quality characteristics, including evolution, autonomy, and adaptability. A test objective that evaluates whether an AI system evolves to improve performance over time directly aligns with AI quality characteristics.
Explanation of Answer Choices:
Option A: The robot must evolve to optimize its routing.
Correct. Evolution is an AI quality characteristic that ensures the system learns from past experiences and adapts to improve efficiency.
Option B: The robot must recharge for no more than six hours a day.
Incorrect. This is an operational constraint rather than an AI-specific quality characteristic.
Option C: The robot must record the time of each delivery which is compiled into a report.
Incorrect. Logging data does not relate to AI quality characteristics like adaptability or autonomy.
Option D: The robot must complete 99.99% of its deliveries each day.
Incorrect. This is a performance target rather than an AI quality characteristic.
ISTQB CT-AI Syllabus Reference:
Evolution as an AI Quality Characteristic: 'Check how well the system learns from its own experience. Check how well the system copes when the profile of data changes (i.e., concept drift)'.
Thus, Option A is the best choice as it directly tests an AI quality characteristic (evolution) in the upgraded autonomous robot.
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