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ISTQB Exam CT-TAE Topic 1 Question 12 Discussion

Actual exam question for ISTQB's CT-TAE exam
Question #: 12
Topic #: 1
[All CT-TAE Questions]

If you are tracking the frequency that a test automation code reports a defect that is not really a defect, what metric are you gathering?

Show Suggested Answer Hide Answer
Suggested Answer: C

Contribute your Thoughts:

Brianne
1 months ago
This question is making me feel like a detective trying to catch the culprit false-fail results. Time to put on my virtual deerstalker cap!
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Dacia
4 days ago
C) Trend metrics
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Ronny
9 days ago
B) Automation code defect density
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Levi
28 days ago
A) Tool scripting metrics
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Terrilyn
1 months ago
D all the way! I hate it when my automation code cries wolf. Gotta keep those false alarms in check.
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Clay
17 days ago
C) Trend metrics
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Claribel
22 days ago
B) Automation code defect density
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Trinidad
28 days ago
A) Tool scripting metrics
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Latonia
1 months ago
Hmm, I was leaning towards C) Trend metrics, but I guess that wouldn't capture the false-fail issue specifically. Good catch, everyone!
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Cristina
2 months ago
I believe it could also be B) Automation code defect density, as it measures the quality of the automation code in detecting real defects.
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Annabelle
2 months ago
I agree, D is the way to go. Gotta keep an eye on those pesky false positives!
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Lettie
3 days ago
D) The number of false-fail results
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Dana
21 days ago
C) Trend metrics
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Abel
21 days ago
Yeah, false positives can really mess up the testing process.
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Renea
23 days ago
B) Automation code defect density
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Yaeko
1 months ago
I think D is the most important metric to track.
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Kattie
1 months ago
A) Tool scripting metrics
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Tori
2 months ago
D) The number of false-fail results is the correct answer. We need to track the instances where the automation code reports a defect that doesn't actually exist.
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Idella
2 months ago
I agree with Shayne, because tracking false-fail results helps identify areas for improvement in the automation code.
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Shayne
2 months ago
I think the answer is D) The number of false-fail results.
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Patti
2 months ago
I'm not sure, but I think it might also be related to C) Trend metrics to see patterns over time.
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Francisca
2 months ago
I agree with Scarlet, because tracking false-fail results can help improve the accuracy of the automation code.
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Scarlet
2 months ago
I think the answer is D) The number of false-fail results.
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