Parasoft Jtest

Parasoft® Jtest® is an integrated Development Testing solution for automating a broad range of practices proven to improve development team productivity and software quality. Jtest also seamlessly integrates with Parasoft SOAtest, which enables end-to-end functional and load testing for complex distributed applications and transactions.

  • Promote software quality with an Agile environment
  • Automated analysis, test, and review workflow
  • Improve development efficiency and productivity
  • Use independently or in conjunction with Parasoft Development Testing Platform

Case Studies

TransCore Static Analysis and Unit Testing Case Study

TransCore needed a cost-effective way to ensure the reliability of their Java-based toll-road payment collection systems. Learn how static analysis and unit testing helped them achieve this by exposing defects early when they could be resolved with minimal rework and added costs.

Cisco Case Study

To comply with corporate quality and security initiatives, Cisco Systems adopted static analysis, unit testing and code review. Learn how they automated these practices and seamlessly integrated them into their existing processes to deliver compliant code without impeding productivity.

United Guaranty Static Analysis Case Study

Software defects were resulting in sporadic downtime for United Guaranty's applications, disrupting the business processes that relied on them. Learn how they established a continuous quality process that not only addressed these availability problems, but also saves them more than $400,000 annually.

Thales Case Study

By applying Parasoft solutions to its Integrated Tramway Management Solutionsproject—then later deploying it across the entire Automatic Vehicle Location System division—Thales Italia reduced its rate of defective components by 30% and significantly increased application performance.

Why Jtest?

Comprehensive Code Quality Tools for Java Development

Jtest helps development teams produce better code, test it more efficiently, and consistently monitor progress toward quality goals. Automate proven Development Testing practices—such as static analysis, peer review, unit testing, coverage analysis, and runtime error detection—on the desktop early in the SDLC. This helps the team identify and fix problems as soon as they are introduced.

Advanced Code Analysis

Continuous “on-the-fly” static analysis automatically checks code against hundreds of built-in or custom rules as developers review, add, and modify code. This helps eliminate entire classes of programming errors by establishing preventive coding conventions, while facilitating regulatory compliance (FDA, PCI, etc.)—ensuring that code meets uniform expectations around security, reliability, performance, and maintainability.

Find Runtime Bugs without Executing Software

Automatically exposes defects that occur as the application is exercised, including race conditions, exceptions, resource and memory leaks, and security attack vulnerabilities. Jtest also provides a complete path for each potential defect in the IDE and cross-links it to the code, enabling users to quickly jump to any point in the highlighted analysis path.

Complete and Effective Peer Review

Jtest automates peer code review preparation, notification, and tracking, while reducing overhead by enabling remote code review on the desktop. Coding policy is automatically monitored during static analysis, which virtually eliminates line-by-line inspections because violations are already identified and cleaned by the time code is submitted for review. This frees reviews to focus on algorithms, design, and subtle errors that require human intelligence.

Unit, Integration, and Regression Testing

Automatically generate complete tests, including test drivers and test cases for individual functions, and use them for initial validation of the code’s functional behavior. A multi-metric coverage analyzer enables you to assess test suite efficacy and completeness—helping you demonstrate compliance with test and validation requirements. Jtest also generates and executes regression test cases to detect if incremental code changes break existing functionality or impact application behavior.

Test Case Tracer

Jtest’s innovative test case tracer generates JUnit test cases that capture actual code behavior as an application is exercised, providing a fast and easy way to create the realistic test cases required for functional/regression testing. Extendable JUnit and Cactus (in-container) tests expose reliability problems and achieve high coverage using branch coverage analysis

Proven Software Quality Capabilities

Static Analysis

  • Broad support for languages and regulations: Security | C/C++ | Java | .NET | FDA | Safety-critical
  • Static analysis tool industry leader since 1994
  • Simple out-of-the-box integration with your SDLC
  • Prevent and expose defects via multiple analysis techniques
  • Find and fix issues rapidly, with minimal disruption
  • Integrated with unit testing, code review & more

Unit Testing

  • Unit testing industry leader since 1997
  • Rapidly build a high-coverage test suite
  • Easily extend and customize generated tests
  • Expose functional problems and crash-causing defects
  • Remove barriers to creating/maintaining robust test suites
  • Integrated with static analysis, code review — more

Peer Review

  • Automates preparation, notification, and tracking of peer review
  • Works in concert with automated code review
  • Asynchronous, unobtrusive process—ideal for distributed teams
  • Supports any language and file type, all common dev environments
  • Integrated with collaborative development & testing framework

Code Coverage Analysis

  • Integrate coverage tracking from unit-level through application-level tests
  • Measure multiple metrics, including line, statement, block, path, decision (branch), simple condition, and MC/DC coverage
  • Generate and optimize test cases to increase coverage
  • Document coverage for FDA and safety-critical with robust reporting
  • Integrated with static analysis, unit testing, code review, and other Development Testing practices

Runtime Error Detection

  • Expose critical defects as the application is exercised
  • Works from unit testing through application/system testing
  • Reports only defects that actually occur
  • Lightweight and suitable for embedded testing
  • Integrated with static analysis, unit testing, code review & more


Bidirectional requirements traceability with Parasoft

  • Take control of requirements definition, management and testing
  • Link requirements with code, code changes, code analysis, peer review, manual and automated tests
  • Prevent unexpected changes and regression
  • Satisfy industry standard requirements, such as FDA, DO-178C and ISO 26262.

Supported Environments

Release Notes