ISTQB Exam CT-TAE Topic 1 Question 12 Discussion

Actual exam question for ISTQB's CT-TAE exam

Question #: 12
Topic #: 1

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?

ATool scripting metrics

BAutomation code defect density

CTrend metrics

DThe number of false-fail results

Show Suggested Answer

Suggested Answer: C

by Nichelle at Jul 09, 2023, 09:28 AM

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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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