Parasoft Logo

PARASOFT JTEST

Ship Quality Java Faster With AI-Enhanced Developer Solution

Sourceforge logo with 5 starts and text "4.6/5 on SourceForge (120+)"

OVERVIEW

Faster Java Quality With AI-Enhanced Static Analysis & Unit Testing

Deliver higher-quality Java code faster with AI-powered static analysis and unit testing. Deliver higher-quality Java code faster with AI-powered static analysis and unit testing. Autonomously fix static analysis violations and generate new tests for uncovered lines of code in your CI/CD pipeline

Screenshot of Parasoft Jtest product tour

Ensure Reliable, Secure Java Code

Validate code reliability and security through static analysis and compliance checks for CWE, OWASP, and more standards. Remediate faster using AI to generate code fixes in the IDE or autonomously in CI/CD pipelines.

AI-Enhanced Static Analysis

Autonomous Unit Test Generation

Target uncovered lines of code using AI to generate maintainable JUnit tests in your IDE or autonomously in your build pipeline, enabling your team to achieve coverage goals efficiently.

Java Unit Testing

Validate Code Changes & Get Testing Feedback Faster

Focus test executions on the subset of unit tests needed to validate code changes by running test impact analysis in CI/CD pipelines or continuously in the IDE with live unit testing.

Java Test Impact Analysis

BD Logo
Cisco Logo
CSA Singapore logo
DSTA logo
General Dynamics Logo
Lockheed Martin Logo
MSIG logo
Mizuho logo
ST Engineering Logo
BD Logo
Cisco Logo
CSA Singapore logo
DSTA logo
General Dynamics Logo
Lockheed Martin Logo
MSIG logo
Mizuho logo
ST Engineering Logo

How can Jtest improve your team’s productivity?

Evaluate the potential time and cost savings you could experience by implementing our AI-powered Java developer productivity solution.

Calculate Your Savings »

Abstract image of a pie chart and analytics demonstrating Parasoft Jtest

JTEST CAPABILITIES

Test Smarter Every Sprint With AI-Assisted Automation That Adapts to Your Workflow

Parasoft Jtest integrates seamlessly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on testing and compliance progress.

Increase code coverage and code quality, get AI assistance for easier, faster unit test creation, and identify security and reliability issues so stakeholders understand the quality of the deliverables and make informed decisions about the release risk.

Catch Code Quality Issues Early With AI Help

Quickly analyze Java code for critical defects and security vulnerabilities. Run continuous static analysis in the IDE with AI-guided remediation, or use autonomous workflows in your CI/CD pipeline to automatically find and fix violations, streamlining compliance and reducing technical debt.

Java Static Analysis

Proactively Catch Risky Code Paths

Validate Java security with advanced rule sets and AI-assisted remediation built for modern compliance demands. Get unique real-time feedback with a continuous view of security compliance status, including interactive dashboards, risk assessment widgets, and automatically generated reports for compliance audits.

Java Security Testing

Fill Coverage Gaps With Autonomous Unit Test Generation

Use Jtest’s AI to generate meaningful, maintainable JUnit tests. Extend test cases to fill coverage gaps with developer-assisted workflows inside your IDE, or let Jtest autonomously generate new tests in your CI/CD pipeline for uncovered lines of code, ensuring new and modified code is fully validated and regression risk is minimized.

Java Unit Testing

Test Only What Matters

Optimize unit test execution by correlating code changes to impacted test cases and executing only the subset of tests needed to validate the modified code. Run test impact analysis in the IDE with Jtest’s Live Unit Testing to ensure the validation of code changes before integration into the main build.

Java Test Impact Analysis

Find Gaps. Generate Coverage. Repeat.

Automatically collect code coverage from unit test executions and easily identify areas of low coverage. Use Jtest’s unit test generation capabilities to target uncovered code and drive higher levels of coverage. Publish code coverage to Parasoft DTP for build-to-build analysis and to view coverage specific to modified code.

Java Code Coverage

Connect Code to What It’s Supposed to Do

Establish and demonstrate traceability between requirements, tests, and code through integration with requirements management systems like Jira, Azure DevOps, Codebeamer ALM, Jama Connect, or Polarion ALM. Generate requirement traceability reports in conjunction with Parasoft DTP.

Java Requirements Traceability

Know What’s Worth Fixing First

Publish testing and static analysis results to Parasoft DTP from CI/CD pipelines for a centralized view of quality. Use AI/ML enhanced analysis to accelerate static analysis triaging and determine priorities for remediation. Track code coverage from all testing practices by integrating DTP with other solutions in the Continuous Quality Testing Platform.

Java Reporting and Analytics

Tech Stack Compatibility

Parasoft Jtest integrates with a variety of open source unit testing frameworks, IDEs, ALM solutions, and build/CI systems.

Jtest Technical Specs
JTEST SECURITY

Secure Coding Backed by AI-Enhanced Analysis

Ensure compliance with industry standards like CWE, OWASP, PCI DSS, and more with automatic documentation to support audits and security reviews.

Out-of-the-Box Customizable Test Configurations

Get preconfigured test setups mapped to today’s top security standards. Easily customize and share configurations across teams to keep policies aligned and enforceable at scale.

Compliance in the IDE and CI/CD Pipeline

Developers get early visibility into security violations right in the IDE. In CI/CD pipelines, Jtest enforces gates automatically—preventing risky code from advancing when it fails to meet security thresholds.

Reporting, Auditing, and Continuous Feedback

Compliance dashboards, risk widgets, and audit-ready reports give teams a real-time view of where things stand—and what needs attention—across the development life cycle.

Image of two men and a woman having a conversation, smiling, and looking at a computer screen.

Raise the bar on Java code quality and boost team productivity.

Start Free Trial