Discuss ISTQB CTFL-Foundation Exam Topic 1 Question 12

Consider the following pseudo code

1. Begin

2. Read Gender

3. __Print ''Dear''

4. If Gender = 'female'

5. Print (''Ms'')

6. Else

7. __Print ( ''Mr'')

8. Endif

9. End

How many test cases are needed to achieve 100 per cent decision coverage?

Suggested Answer: D

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41 comments · newest first

Ben 11 months ago

I thought we might need more for edge cases, but 2 works!

Curt 11 months ago

2 is definitely right, just male and female.

Franklyn 11 months ago

Wait, why not 3? Seems like there's more to cover.

Luther 12 months ago

Totally agree, one for each gender!

Edna 12 months ago

You need 2 test cases for full coverage.

Elliot 12 months ago

I’m leaning towards two test cases as well, since we just need to test the decision point for gender.

Vallie 1 year ago

I feel like we might need four test cases to cover all possible scenarios, but that seems excessive for this code.

Nohemi 1 year ago

I remember practicing a similar question, and I think it was three test cases, but I can't recall the details.

Farrah 1 year ago

I think we need at least two test cases, one for 'female' and one for 'male', but I'm not entirely sure if that's enough for full coverage.

Jaime 1 year ago

I've got it! We need three test cases - one for 'female', one for 'male', and one for some other value of 'Gender' to make sure the code handles that case correctly. That should give us 100% decision coverage.

Kayleigh 1 year ago

Wait, I'm a bit confused. Do we need to consider any other possible values for 'Gender' besides 'female' and 'male'? I want to make sure I'm not missing anything.

Fannie 1 year ago

Okay, let me think this through. We need to cover both the 'female' and 'not female' (i.e., 'male') cases, right? So that's at least two test cases.

Glenn 1 year ago

Hmm, this looks like a pretty straightforward decision coverage problem. I think I can handle this one.

Katheryn 1 year ago

I'm not convinced this is the best approach. Automating tasks is one thing, but sharing knowledge articles might require a more robust solution. I'll need to explore other options to ensure we meet all the requirements.

Elizabeth 1 year ago

Hmm, I'm a bit unsure about this one. The options seem similar, but I think the key is understanding what "explicit opt-in" means in the context of mobile marketing. I'll need to think this through carefully.

Alesia 1 year ago

Okay, I've got this. Life insurance is commonly used for estate planning, business continuity, and replacing income - the options seem to cover those main uses. I just need to identify the one that doesn't fit.

Corinne 1 year ago

Wait, what if the gender is 'other'? Shouldn't we test that case too? Or maybe the code should just use 'Mx' instead of 'Mr' or 'Ms'.

Tiffiny 1 year ago

↳ replying to Corinne

Yes, testing for 'other' gender and adding 'Mx' as an option would improve the code.

Roxane 1 year ago

↳ replying to Corinne

I think adding 'Mx' as an option would be a good idea.

Lavelle 1 year ago

↳ replying to Corinne

I agree, we need to make sure the code covers all possibilities.

Annelle 1 year ago

↳ replying to Corinne

We should definitely test for the 'other' gender case.

Latia 1 year ago

Well, at least this question doesn't involve any complex algorithms or data structures. I can handle a simple if-else statement!

Murray 1 year ago

↳ replying to Latia

Yep, just one test case for 'female' and one for 'male' should do the trick for 100% decision coverage.

Carmen 1 year ago

↳ replying to Latia

I agree, only 2 test cases are needed to cover both 'female' and 'male' genders.

Leigha 1 year ago

↳ replying to Latia

True, this question is pretty straightforward. Just need to cover both branches of the if-else statement.

Rodolfo 1 year ago

Hmm, I'm not sure. Maybe I should draw a decision tree to visualize all the possible paths. That might help me figure this out.

Michael 1 year ago

↳ replying to Rodolfo

I agree, visualizing the paths might make it easier to determine the number of test cases needed.

Serina 1 year ago

↳ replying to Rodolfo

I think creating a decision tree is a good idea. It will help you see all the paths clearly.

Lavonna 1 year ago

↳ replying to Rodolfo

You could also try creating truth tables to see all the possible combinations.

Louis 1 year ago

I think the question is pretty straightforward. You just need to check the two possible outcomes of the gender check, right?

Lavina 1 year ago

↳ replying to Louis

That makes sense. It's important to cover all possible paths in the code.

Tasia 1 year ago

↳ replying to Louis

So, we only need 2 test cases to achieve 100 per cent decision coverage.

Theodora 1 year ago

↳ replying to Louis

Yes, you are correct. We just need to test both outcomes of the gender check.

Dominga 2 years ago

I believe the answer is C) 3, as we need to test for 'female', 'male', and the default case.

Leslie 2 years ago

I agree with Dannie, because we need to test both the 'female' and 'male' branches.

Valene 2 years ago

The correct answer is B) 2 test cases. One for 'female' and one for 'male' to achieve 100% decision coverage.

Elouise 1 year ago

↳ replying to Valene

Thanks for the clarification!

Sean 1 year ago

↳ replying to Valene

So the correct answer is B) 2 test cases.

Charlene 1 year ago

↳ replying to Valene

That's right, one for 'female' and one for 'male'.

Nohemi 1 year ago

↳ replying to Valene

You only need 2 test cases to achieve 100% decision coverage.

Dannie 2 years ago

I think we need 3 test cases to achieve 100% decision coverage.

ISTQB CTFL-Foundation Exam - Topic 1 Question 12 Discussion