What challenges may arise when incorporating AI and Machine Learning in functional testing processes?
- Difficulty in Interpreting Results
- Increased Test Execution Time
- Lack of Proper Training Data
- Overreliance on Automation
Challenges in incorporating AI and Machine Learning in functional testing include the difficulty in interpreting results. Understanding the output of ML algorithms can be complex, requiring expertise. Misinterpretation may lead to incorrect testing decisions. Proper training data and caution against overreliance on automation are also essential to address challenges effectively.
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