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Description
EvoSuite is a free, open-source tool designed to automatically create JUnit test suites for Java classes by leveraging search-based software testing (SBST) methods to improve code coverage and uncover possible defects. It analyzes Java bytecode to generate executable unit tests that include assertions, with the goal of achieving significant structural coverage, which encompasses branch, line, and mutation coverage. The tool employs a hybrid strategy that merges evolutionary algorithms with mutation testing to yield efficient and concise test suites. Supporting multiple Java versions, EvoSuite seamlessly integrates with various build systems and integrated development environments (IDEs) such as Maven, Eclipse, IntelliJ IDEA, and can also be used via command-line interfaces. Additionally, it provides capabilities for regression testing through its EvoSuiteR component, generating test suites that help identify discrepancies between two versions of a Java class. Benchmarking on a wide array of open-source projects has demonstrated EvoSuite's effectiveness, and it has been widely adopted in both academic research and practical industry applications to improve the software testing process. This versatility ensures that developers can rely on EvoSuite to enhance the reliability and quality of their Java applications.
Description
LibFuzzer serves as an in-process, coverage-guided engine for evolutionary fuzzing. By being linked directly with the library under examination, it injects fuzzed inputs through a designated entry point, or target function, allowing it to monitor the code paths that are executed while creating variations of the input data to enhance code coverage. The coverage data is obtained through LLVM’s SanitizerCoverage instrumentation, ensuring that users have detailed insights into the testing process. Notably, LibFuzzer continues to receive support, with critical bugs addressed as they arise. To begin utilizing LibFuzzer with a library, one must first create a fuzz target—this function receives a byte array and interacts with the API being tested in a meaningful way. Importantly, this fuzz target operates independently of LibFuzzer, which facilitates its use alongside other fuzzing tools such as AFL or Radamsa, thereby providing versatility in testing strategies. Furthermore, the ability to leverage multiple fuzzing engines can lead to more robust testing outcomes and clearer insights into the library's vulnerabilities.
API Access
Has API
API Access
Has API
Integrations
Atheris
C
C++
ClusterFuzz
Eclipse IDE
Fuzzbuzz
Google ClusterFuzz
IntelliJ IDEA
Java
Jazzer
Integrations
Atheris
C
C++
ClusterFuzz
Eclipse IDE
Fuzzbuzz
Google ClusterFuzz
IntelliJ IDEA
Java
Jazzer
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
EvoSuite
Country
United States
Website
www.evosuite.org
Vendor Details
Company Name
LLVM Project
Founded
2003
Website
llvm.org/docs/LibFuzzer.html
Product Features
Automated Testing
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance