13. Systematic Approach to Problem Solving AQA A-Level Computer Science

Analysis

The definition of a problem and the establishment of the system requirements and data analysis necessary to solve the problem, after the necessary research

Design

The planning and specification of the data structures, algorithms, modules and interfaces necessary for the solution to the problem.

Implementation

Writing the code necessary to create the algorithms and data structures from the design phase, in an iterative process of prototyping

Acceptance Testing

A component of testing with the intended users to ensure the intended solution is met.

Boundary Data

Test input data that lies on the boundary of the system’s expected range

Erroneous Data

Test input data that lies outside of the system’s expected range (incorrect data).

Normal Data

Test input data that lies within the system’s expected range. It should return the expected output.

Testing

Running implementations to check for the presence of errors, using selected test data covering normal (typical), boundary, and erroneous data.

Evaluation

The judgement of the system to check if it has met the required criteria to be an effective solution to the initial problem.