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When precise computation is necessary, carefully and methodically estimate the maximum cumulative error of the computations, regardless of whether decimal or binary is used, to ensure that the resulting error is within tolerances. Consider using numerical analysis to properly understand the problem. An introduction can be found in David Goldberg's "What Every Computer Scientist Should Know about Floating-Point Arithmetic" [Goldberg 1991].
Noncompliant Code Example
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Recommendation | Severity | Likelihood | Remediation Cost | Priority | Level |
|---|---|---|---|---|---|
FLP02-C | lowLow | probableProbable | highHigh | P2 | L3 |
Automated Detection
Tool | Version | Checker | Description |
|---|---|---|---|
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| Can detect violations of this recommendation. In particular, it checks to see if the arguments to an equality operator are of a floating-point type |
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