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Candidates should be able to:
4 Understand standard methods of solution
5 (a) Understand the need for validation checks
to be made on input data and the different
types of validation check
(b) Understand the need for verification checks
to be made on input data and the different
types of verification check
6 Suggest and apply suitable test data
7 Complete a trace table to document a dry-run
of an algorithm
8 Identify errors in given algorithms and suggest
ways of correcting these errors
9 Write and amend algorithms for given problems
or scenarios, using: pseudocode, program
code and flowcharts
Notes and guidance
e Limited to:
— linear search
— bubble sort
- totalling
- counting
- finding maximum, minimum and average
values
e = Including:
- range check
- length check
— type check
— presence check
- format check
- check digit
e = Including:
- visual check
- double entry check
e Limited to:
— normal
- abnormal
- extreme
- boundary
e Extreme data is the largest/smallest acceptable
value
e Boundary data is the largest/smallest
acceptable value and the corresponding
smallest/largest rejected value
e = Including, at each step in an algorithm:
- variables
- outputs
user prompts
e Precision is required when writing algorithms,
ég.x > yis acceptable but
x is greater than yis not acceptable