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  4. Code Review
  5. Coverity Scan vs JaCoCo

Coverity Scan vs JaCoCo

OverviewComparisonAlternatives

Overview

Coverity Scan
Coverity Scan
Stacks50
Followers185
Votes0
JaCoCo
JaCoCo
Stacks223
Followers82
Votes0
GitHub Stars4.4K
Forks1.2K

Coverity Scan vs JaCoCo: What are the differences?

Developers describe Coverity Scan as "Find and fix defects in your Java, C/C++ or C# open source project for free". Coverity's implementation of static analysis can follow all the possible paths of execution through source code (including interprocedurally) and find defects and vulnerabilities caused by the conjunction of statements that are not errors independent of each other. On the other hand, JaCoCo is detailed as "A code coverage library for Java". It is a free code coverage library for Java, which has been created based on the lessons learned from using and integration existing libraries for many years.

Coverity Scan and JaCoCo can be primarily classified as "Code Review" tools.

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Detailed Comparison

Coverity Scan
Coverity Scan
JaCoCo
JaCoCo

Coverity's implementation of static analysis can follow all the possible paths of execution through source code (including interprocedurally) and find defects and vulnerabilities caused by the conjunction of statements that are not errors independent of each other.

It is a free code coverage library for Java, which has been created based on the lessons learned from using and integration existing libraries for many years.

Test every line of code and potential execution path.;The root cause of each defect is clearly explained, making it easy to fix bugs;Integrates with GitHub and Travis CI
-
Statistics
GitHub Stars
-
GitHub Stars
4.4K
GitHub Forks
-
GitHub Forks
1.2K
Stacks
50
Stacks
223
Followers
185
Followers
82
Votes
0
Votes
0
Integrations
GitHub
GitHub
Travis CI
Travis CI
No integrations available

What are some alternatives to Coverity Scan, JaCoCo?

Code Climate

Code Climate

After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.

Codacy

Codacy

Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.

Phabricator

Phabricator

Phabricator is a collection of open source web applications that help software companies build better software.

PullReview

PullReview

PullReview helps Ruby and Rails developers to develop new features cleanly, on-time, and with confidence by automatically reviewing their code.

Gerrit Code Review

Gerrit Code Review

Gerrit is a self-hosted pre-commit code review tool. It serves as a Git hosting server with option to comment incoming changes. It is highly configurable and extensible with default guarding policies, webhooks, project access control and more.

SonarQube

SonarQube

SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.

RuboCop

RuboCop

RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide.

CodeFactor.io

CodeFactor.io

CodeFactor.io automatically and continuously tracks code quality with every GitHub or BitBucket commit and pull request, helping software developers save time in code reviews and efficiently tackle technical debt.

ESLint

ESLint

A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.

Amazon CodeGuru

Amazon CodeGuru

It is a machine learning service for automated code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific recommendations to fix or improve your code.

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