Exam #3 Prep

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Flashcards for Exam #3 Prep based on lecture notes.

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18 Terms

1
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What are common sources of requirements changes?

Requirement errors, conflicts, inconsistencies; evolving customer/end-user system knowledge; technical, schedule, or cost overruns; changing customer priorities; environmental and organizational changes.

2
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What are the purposes of traceability management?

To identify, document, and retrieve the rationale & dependencies/impact of requirements; to assess impact of proposed changes; to easily propagate changes to maintain consistency.

3
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What related questions are associated with forward traceability (source to target)?

Where is this taken into account? What are the implications of this? Where is this applied?

4
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What related questions are associated with backwards traceability (target to source)?

Why is this here? Where does it come from?

5
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What is the definition of scope creep?

New functionality and big changes that are presented after project requirements have been baselined.

6
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What is the most effective technique for controlling scope creep?

Say NO!!!

7
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How do requirements for AI systems differ from non-AI systems?

AI systems are more heavily data dependent, evolve more frequently, and have a stronger need for continuous consideration, especially for ethical requirements.

8
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What is a reward function?

Mathematical formula the AI model uses to determine “right” vs “wrong” predictions; determines action/behavior for which your system will try to optimize.

9
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What is a true positive in the context of AI suggestions?

AI suggested something the user likes, wants, and ultimately chooses.

10
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What is a true negative in the context of AI suggestions?

AI did not suggest and user would not have liked, wanted, or chosen.

11
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What is a false positive in the context of AI suggestions?

AI suggested something but the user does not like.

12
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What is a false negative in the context of AI suggestions?

AI did not suggest but the user would have liked.

13
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When should you use automation?

Automate when people lack knowledge or ability to do the task or the task is boring, repetitive, awkward, or dangerous.

14
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When should you use augmentation?

Augment when people enjoy the task, personal responsibility for outcome is required or important, or stakes are high.

15
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What is precision?

Proportion of true positives correctly categorized out of all the true and false positives.

16
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What does higher precision equate to?

Higher confidence that the output is correct, increased number of false negatives.

17
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What is recall?

Proportion of true positives correctly categorized out of all the true positives and false negatives.

18
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What does higher recall equate to?

Higher confidence that the output has all relevant results, increased number of false positives and possibly irrelevant results.