StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Code Review
  4. Code Review
  5. FindBugs vs JaCoCo

FindBugs vs JaCoCo

OverviewComparisonAlternatives

Overview

FindBugs
FindBugs
Stacks625
Followers100
Votes0
JaCoCo
JaCoCo
Stacks223
Followers82
Votes0
GitHub Stars4.4K
Forks1.2K

FindBugs vs JaCoCo: What are the differences?

  1. Key Difference 1: Analysis Focus FindBugs is a static analysis tool that focuses on finding potential bugs in Java code. It analyzes the code statically without actually executing it. On the other hand, JaCoCo is a code coverage tool that measures how much of the code is being executed during testing. It tracks the code coverage dynamically by instrumenting the bytecode.

  2. Key Difference 2: Detected Issues FindBugs is designed to detect a wide range of potential bugs and issues in the code, including coding errors, misuse of APIs, and other common programming mistakes. It provides a comprehensive analysis of the codebase and highlights areas that could lead to bugs. JaCoCo, on the other hand, does not focus on detecting bugs but instead provides insights into the code coverage achieved during testing.

  3. Key Difference 3: Usage in Software Development Lifecycle FindBugs is typically used in the development stage of the software lifecycle to catch potential bugs early in the process. It can be integrated into the build system or used as a standalone tool. JaCoCo, however, is primarily used during the testing phase to measure code coverage. It helps identify areas of the code that are not adequately tested and ensures that test cases cover a significant portion of the code.

  4. Key Difference 4: Output Visualization FindBugs provides detailed reports that highlight potential bug patterns in the code. The reports include descriptions of the issues, severity levels, and suggestions for potential fixes. It helps developers understand and address the identified problems. JaCoCo, on the other hand, generates coverage reports that show how each line and branch of the code was covered during testing. These reports help developers assess the effectiveness of their test cases.

  5. Key Difference 5: Integration with Build Tools FindBugs can be integrated with various build tools and IDEs, such as Maven and Eclipse, to automate the analysis process. It can be configured to run as part of the build process and provide feedback to developers. On the other hand, JaCoCo can also be integrated into build systems and used alongside test frameworks to measure code coverage during automated testing.

  6. Key Difference 6: Execution Context FindBugs analyzes the code statically, meaning it can identify potential bugs without executing the code. This allows it to catch issues that may not be apparent during compilation but could cause problems during runtime. JaCoCo, on the other hand, requires the code to be executed during testing to measure its coverage. It provides insights into the actual execution path of the code.

In summary, FindBugs is a static analysis tool focusing on finding potential bugs in Java code, while JaCoCo is a code coverage tool that tracks the execution of code during testing. FindBugs detects various issues in the code, provides detailed reports, and can be integrated into build systems. JaCoCo measures code coverage, generates coverage reports, and requires the code to be executed during testing.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

FindBugs
FindBugs
JaCoCo
JaCoCo

It detects possible bugs in Java programs. Potential errors are classified in four ranks: scariest, scary, troubling and of concern. This is a hint to the developer about their possible impact or severity.

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.

static analysis of the Java bytecode; early feedback about potential errors in the code
-
Statistics
GitHub Stars
-
GitHub Stars
4.4K
GitHub Forks
-
GitHub Forks
1.2K
Stacks
625
Stacks
223
Followers
100
Followers
82
Votes
0
Votes
0
Integrations
Jenkins
Jenkins
Java
Java
NetBeans IDE
NetBeans IDE
IntelliJ IDEA
IntelliJ IDEA
Eclipse
Eclipse
No integrations available

What are some alternatives to FindBugs, 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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana