| Tests exist to evaluate whether the results match the specification. |
|
|
|
|
0.2 |
0.4 |
0.8 |
1 |
1 |
| The precision presented in answers to the user is appropriate for the product's algorithm and implementation. |
|
|
|
|
0.3 |
0.6 |
0.9 |
1 |
1 |
| The product produces the same results in response to the same inputs (unless specification calls for randomness). |
|
|
0.2 |
0.3 |
0.6 |
0.9 |
1.0 |
1 |
1 |
| The product results are unaffected by increasing levels of use, analyzed inputs, or generated outputs; consistent with likely future demand. |
|
|
|
|
|
0.2 |
0.6 |
1 |
1 |
| The specific results provided by the product match what the specification calls for. |
|
|
|
0.2 |
0.4 |
0.6 |
1.0 |
1 |
1 |
| There are examples of outputs that follow the specification. |
|
|
0.2 |
0.5 |
0.6 |
0.8 |
1.0 |
1 |
1 |
| There is a specification of the algorithm against which results can be compared. |
0.2 |
0.3 |
0.5 |
1.0 |
1.0 |
1.0 |
1.0 |
1 |
1 |