Al-Azif / mira-project

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Quality Score

Indicates how healthy your codebase is. The higher the score, the better.

86%

TECHNICAL DEBT

Cost of technical debt removal.

$6,734

EFFORT

Equivalent engineering effort.

96.2 hrs

COST BREAKDOWN

$644Remove Defect
$1,820Refactor Duplicate Code
$840Reduce Code Complexity
$3,430Improve Code Readability

CODE DISTRIBUTION

Code Distribution per Language. It helps you have an overview of what language is the most used in your project.

29747
Total lines of code
Cpp
C
Yaml
Python

DISTRIBUTION OF VIOLATIONS PER CATEGORY

Distribution of the violations detected using static analysis tools per category. It helps to identify if there is a specific category where bugs are prevalent.

Prevalent Category
Code Style

Code Style

Best Practices

Security

Design

Error Prone

DISTRIBUTION OF VIOLATIONS PER SEVERITY

Distribution of the violations detected using static analysis tools per severity. A low severity means the violations is serious.

Prevalent Severity
Informational
InformationalWarningErrorCritical

LONG FUNCTIONS

Functions that have more than 40 lines of code (SLOCS). Learn more about why long functions should be avoided.

ƒ 12%98 long functions out of 826 functions

COMPLEX FUNCTIONS

Functions that have a a high cyclomatic complexity and are more likely to have bugs. Learn more about cyclomatic complexity.

ƒ 4%25 complex functions out of 826 functions

DUPLICATED LINES

Percentage of the code that is duplicated in the repository. Learn more about why code should not be duplicated.

8%2128 duplicated slocs out of 29747 slocs

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