Which statement about using AI to analyze reported defects is MOST correct?

The correct answer is C. ML models can identify categories for a reported defect during assignment. The ISTQB CT-AI syllabus (Section5.3 - AI Support for Defect Analysis) explains that AI can categorize defect reports using natural language processing or classification models. Categorization helps route defects efficiently and determine which areas of the system are affected…

Testing of AI-based Systems

Question

Options

AML models trained with critical defect tickets can identify defects that cause serious
BML models can support duplicate defect identification when checking defect criticality.
CML models can identify categories for a reported defect during assignment.
DML models identify developers who should handle a defect based on ticket content.

How the community answered

(62 responses)

A
5% (3)
B
11% (7)
C
77% (48)
D
6% (4)

Explanation

The ISTQB CT-AI syllabus (Section5.3 - AI Support for Defect Analysis) explains that AI can categorize defect reports using natural language processing or classification models. Categorization helps route defects efficiently and determine which areas of the system are affected. Thus, Option C is correct: AI canidentify defect categories, supporting assignment and

Topics

#ML defect analysis#defect categorization#defect management#ML models

Community Discussion

No community discussion yet for this question.

Full CT-AI Practice