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An application has 3 ILFs and 3 EIFs, all of average complexity. An enhancement to the system creates a new query with 22 attributes that displays data from each of the existing ILFs and EIFs. The new query also updates one of the existing ILFs. The original application FP was 200. What is the new AFPA?
Suggested Answer: B
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18 comments · newest first
DE
Denise
11 months ago
258 seems way too high for just one enhancement!
BE
Bernadine
11 months ago
Wait, how does updating an ILF change the total?
SO
Sonia
11 months ago
I’m pretty sure it should be 217.
RA
Rana
11 months ago
I think the new query adds a lot of complexity!
CA
Casandra
12 months ago
The original FP is 200, right?
HE
Herman
12 months ago
If the original FP was 200 and we add the weights for the new query and the ILF update, I think the answer might be closer to 217, but I need to double-check my calculations.
KA
Kayleigh
1 year ago
I feel like the new query with 22 attributes might add a significant amount to the AFPA. I just can't remember how to calculate that part correctly.
AM
Amina
1 year ago
I practiced a similar question where we had to calculate the new AFPA after an enhancement. I think we need to add the new query's complexity to the original FP, but I can't recall the exact numbers.
SH
Shaun
1 year ago
I remember that for each ILF and EIF, we need to add their respective weights. I think they were 7 and 5 for average complexity, but I'm not entirely sure.
AU
Audry
1 year ago
Wait, I'm a bit confused. How do I determine the complexity of the new query? And how does that factor into the overall AFPA calculation? I better review my notes to make sure I'm on the right track.
YO
Yong
1 year ago
This seems straightforward enough. I just need to follow the steps and apply the appropriate function point weights. As long as I don't make any silly mistakes, I should be able to get the right answer.
AL
Alexia
1 year ago
Alright, time to put my Function Point Analysis skills to the test. I'll need to calculate the new FP based on the changes described, and then compare it to the original FP to get the AFPA.
VA
Vanda
1 year ago
Hmm, this looks like a tricky one. I'll need to carefully go through the details and make sure I understand the different components.
DO
Dominque
1 year ago
Okay, let's see. We have 3 ILFs and 3 EIFs, all of average complexity. And the new query accesses data from all of them, plus updates one of the ILFs. I think I know how to approach this, but I want to double-check my work.
ST
Stevie
1 year ago
I'm not too sure about this one. The options seem similar, and I don't want to just guess. I'll try to eliminate the ones that don't seem right and see if I can narrow it down.
AD
Adelaide
1 year ago
Okay, I've got a strategy for this. I'll think through each stakeholder group and consider their typical level of involvement in validating requirements. That should help me determine the right answer.
ST
Staci
1 year ago
This seems straightforward. ACK is a cloud-agnostic service, so it should be able to register k8s clusters running on any cloud provider or on-premises infrastructure. I'll go with True.
PU
Pura
1 year ago
I'm a little confused on the best sampling method here. Is cluster sampling a viable option, or should I stick with the more common approaches like simple random or stratified random? I'll need to review my notes on the pros and cons of each method.