How is scoring for violated rules calculated in CodeScan?

How is scoring for violated rules calculated in CodeScan?

• A. By averaging the severity levels
• B. Subtracting the violated rule's priority number from 6
• C. Counting the total number of violations
• D. Multiplying severity levels by the number of rules

Answer: (B)

In CodeScan, scoring for violated rules is calculated by subtracting the violated rule's priority number from 6. Each rule has a defined priority level, which helps to assess the impact of that particular violation on the overall code quality. By using this method, the scoring effectively reflects the severity of the rule violation; lower priority numbers indicate more critical issues, while higher numbers suggest less critical concerns. Therefore, subtracting the priority number from 6 allows for a weighted scoring system where more severe violations result in higher scores, thereby accentuating the significance of addressing critical rule violations in the code. The other options do not correctly represent how CodeScan calculates scoring for violated rules. Averaging severity levels would not accurately capture the individual impact of each violation. Counting the total number of violations fails to account for the varying degrees of seriousness among the rules. Multiplying severity levels by the number of rules does not align with the way CodeScan determines scores based on priority, as it would not effectively represent the urgency of addressing specific issues.

In CodeScan, scoring for violated rules is calculated by subtracting the violated rule's priority number from 6. Each rule has a defined priority level, which helps to assess the impact of that particular violation on the overall code quality. By using this method, the scoring effectively reflects the severity of the rule violation; lower priority numbers indicate more critical issues, while higher numbers suggest less critical concerns. Therefore, subtracting the priority number from 6 allows for a weighted scoring system where more severe violations result in higher scores, thereby accentuating the significance of addressing critical rule violations in the code.

The other options do not correctly represent how CodeScan calculates scoring for violated rules. Averaging severity levels would not accurately capture the individual impact of each violation. Counting the total number of violations fails to account for the varying degrees of seriousness among the rules. Multiplying severity levels by the number of rules does not align with the way CodeScan determines scores based on priority, as it would not effectively represent the urgency of addressing specific issues.