anworcs / jekyll-manager

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Quality Score

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

70%

TECHNICAL DEBT

Cost of technical debt removal.

$9,062

EFFORT

Equivalent engineering effort.

129.45 hrs

COST BREAKDOWN

$5,037

Remove Defects

$3,465

Refactor Duplicate Code

$0

Reduce Code Complexity

$560

Improve Code Readability

CODE DISTRIBUTION

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

20309Total lines of code

Javascript

Ruby

Html

Css

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

Error Prone

Error Prone

Code Style

Design

Safety

Best Practices

Performance

Documentation

Security

Deployment

Unknown

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

Warning
WarningInformationalErrorCritical

LONG FUNCTIONS

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

Ζ’ 2%

17 long functions out of 1693 functions

COMPLEX FUNCTIONS

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

No complex functions detected.

DUPLICATED LINES

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

17%

3300 duplicated slocs out of 20309 slocs

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