VCE Software Development U3O1 Word Scramble: Testing modules and Artificial intelligence in programming (Modules 178–193)
Name:
Date:
Class:
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Word scramble
Unscramble the letters and write each key term on the line.
1
NIUT STTIENG
Testing one function or class on its own, with its own test table, before joining it to the rest of the program, so a failing test points to that module.
2
YFIMDO DCOE
Read and trace the code first to see what it does, then change one small part at a time and re-run your test cases to check the effect of that change.
3
IA OEDC AENITNORGE
Using AI tools, like editor assistants and chatbots, to turn plain-English prompts into program code. It saves time, but the code must still be checked and tested by the programmer.
4
DECO RPMTOP
A clear AI request stating the language, the task, the inputs and outputs, and the constraints. Keep to one task per prompt, e.g. Write a Python function that returns an average.
5
LOPWOU-FL OPMTPR
A new prompt sent after reviewing AI code that names the exact problem, e.g. 'Use snake_case names and add range checking', so the next version fixes it.
6
IA NDGBEIGGU
Giving an AI tool your code, the error message and the expected behaviour so it suggests a cause and a fix, which you must still understand and test yourself.
7
SREAST
AI can draft ______ tests for a module, but you must check each expected output by hand to be sure it is correct. Also add any normal, boundary or invalid cases it missed.
8
IMTSPTIOANOI
Changing code so it runs faster, uses less memory or is easier to read, without changing what it does. For example, removing repeated code or using a built-in function.
9
SORRGEEINS STTE
Re-running the same test cases on AI-optimised code to prove it still gives identical results as before. If any result changes, reject the change.
10
OEAICNFLNDTI TDAA
Private information like personal data, passwords or secret code. Never paste it into an AI tool, as it may be stored or used to train the model. Use fake sample data and check the data policy.
11
# DG-AATEERENI: THCAPGT
A comment that acknowledges AI helped write the code. Name the tool and prompt, and check the output is not copied licensed work. You stay responsible for the final code.
12
IA REEI-VOENLCAR
Trusting AI-generated code without checking it. The code may be biased, outdated or insecure, and you lose your own skills and judgement. Always review it and stay in control.
Answer Key
VCE Software Development U3O1 · Modules 178–193
1NIUT STTIENG → unit testing — Testing one function or class on its own, with its own test table, before joining it to the rest of the program, so a failing test points to that module.
2YFIMDO DCOE → modify code — Read and trace the code first to see what it does, then change one small part at a time and re-run your test cases to check the effect of that change.
3IA OEDC AENITNORGE → AI code generation — Using AI tools, like editor assistants and chatbots, to turn plain-English prompts into program code. It saves time, but the code must still be checked and tested by the programmer.
4DECO RPMTOP → code prompt — A clear AI request stating the language, the task, the inputs and outputs, and the constraints. Keep to one task per prompt, e.g. Write a Python function that returns an average.
5LOPWOU-FL OPMTPR → follow-up prompt — A new prompt sent after reviewing AI code that names the exact problem, e.g. 'Use snake_case names and add range checking', so the next version fixes it.
6IA NDGBEIGGU → AI debugging — Giving an AI tool your code, the error message and the expected behaviour so it suggests a cause and a fix, which you must still understand and test yourself.
7SREAST → assert — AI can draft assert tests for a module, but you must check each expected output by hand to be sure it is correct. Also add any normal, boundary or invalid cases it missed.
8IMTSPTIOANOI → optimisation — Changing code so it runs faster, uses less memory or is easier to read, without changing what it does. For example, removing repeated code or using a built-in function.
9SORRGEEINS STTE → regression test — Re-running the same test cases on AI-optimised code to prove it still gives identical results as before. If any result changes, reject the change.
10OEAICNFLNDTI TDAA → confidential data — Private information like personal data, passwords or secret code. Never paste it into an AI tool, as it may be stored or used to train the model. Use fake sample data and check the data policy.
11# DG-AATEERENI: THCAPGT → # AI-generated: ChatGPT — A comment that acknowledges AI helped write the code. Name the tool and prompt, and check the output is not copied licensed work. You stay responsible for the final code.
12IA REEI-VOENLCAR → AI over-reliance — Trusting AI-generated code without checking it. The code may be biased, outdated or insecure, and you lose your own skills and judgement. Always review it and stay in control.