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Java Static Analysis

Java Static Code Analysis

Harness the power of AI and experience optimized static analysis workflows to enable faster code fixes and increase developer productivity with Parasoft Jtest.

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Deliver Secure and Reliable Software

Increase Code Quality & Reliability

Validate code quality, reliability, and maintainability with pattern-based, data flow, and metric analysis rules to identify coding flaws during active development. Use live static analysis for continuous code scanning in the IDE to find and remediate defects before code check-in. Run automated scans in CI/CD pipelines using Jtest’s CLI.

Identify Security Risks

Streamline adherence to secure coding standards and guidelines like OWASP, CWE, CERT, PCI DSS, and DISA ASD. Customize static analysis rule sets to your specific secure coding guidelines. Accelerate compliance to secure coding standards and easily generate compliance verification documentation.

AI-Optimize Issue Remediation

Automatically analyze past static analysis triage activity and get AI-generated recommendations on what violations to prioritize for remediation. Automatically assign violations to specific developers based on historical experience and skill sets. Integrate Jtest with various LLM providers like OpenAI and Azure OpenAI and get AI-generated code fix recommendations to accelerate remediation steps.

Static Code Analysis Tool for Developing Reliable Java Applications

Parasoft’s AI-enhanced Jtest verifies Java code quality and checks compliance with security standards (OWASP, CWE, CERT, PCI DSS, and more) by applying a wide range of proprietary static analysis checkers (1000+) to go way beyond open source. Parasoft Jtest leverages Parasoft’s centralized reporting and analytics hub, Parasoft DTP, to provide deep, actionable insights on code quality and risk.

Screenshot from Jtest overview video. Summary of the secure coding standards supported by Jtest with a graphic of a computer screen to the right of the list.

How Does It Work?

Parasoft Jtest provides a comprehensive set of static analysis checkers and testing techniques that can be used to verify compliance with security standards (OWASP, CWE, CERT, PCI DSS, and more) and custom coding standards (using built-in or user-defined custom rules), find runtime problems early and without executing code (such as null pointer exceptions, array index out of bounds), identify code duplication, and understand complexity and code structure (leveraging over 40 industry-accepted code metrics).

Jtest employs a state-of-the-art Java code parsing engine to statically analyze and understand the code under test and find code defects indicated by rule violations. It ships with over 1000 different checkers that cover general best practices (Effective Java, The Java Programming Language) and industry coding and compliance standards, as well as specialized bug-finders (such as null pointer exception, resource leaks, deadlocks, division by zero, array index out of bounds, and more).

To help users understand which static analysis rules to use, Jtest organizes and associates metadata to the rules, providing:

  • Built-in test configurations. Pre-defined rule sets mapped to specific coding standards or guidelines allow users to perform static analysis quickly and conveniently, streamlining adherence to industry and security compliance requirements.
  • Rule categories. Each rule belongs to a rule category, such as Optimization, Security, Exceptions, or API, to help users quickly understand how rules might correspond to their testing priorities.
  • Severity levels. Each rule is assigned a severity level to help users better understand the potential impact of the rule violation.

Static code analysis can be performed in the IDE (Eclipse, IntelliJ, and VS Code), from the command line, or using build system plugins (Jenkins, Maven, Gradle) for automation and Continuous Integration scenarios. The results of the analysis can be accessed immediately (in the IDE, or with HTML/XML/PDF reports), integrated with CI systems like GitHub, GitLab, and Azure DevOps, or accessed by Parasoft DTP for post-processing, build-to-build analysis, compliance reporting, and advanced analytics with machine learning prioritizations.

Jtest provides advanced capabilities for making static analysis a maintainable element of the development process, such as suppressing unwanted findings, prioritizing and automatically assigning findings to developers for faster remediation, and much more.

Features

Benefit From the Parasoft Approach

A Unified Approach to Java Quality

Instead of integrating with other tools and solutions, Parasoft Jtest provides it all with static analysis, security compliance, unit testing, code coverage, and a powerful processing engine for analytics and reporting. Parasoft’s functional testing tools are also easily connected to Jtest’s code coverage engine for efficient test automation, providing users with everything they need to test their Java applications end to end.

Early Detection and Fast Remediation

Leveraging Jtest’s Live Static Analysis, engineers can run local code scans autonomously during active development to find defects in the earliest stages. With Jtest’s optional integration with various LLM providers, teams can easily and rapidly remediate static analysis findings by generating effective code fixes.

Deep Insights From Smart Analytics to Rapidly Assess Risk

Unlike any other commercial or open-source tool, Parasoft provides a unique data gathering and intelligence engine that other products lack. The business intelligence of the current state of the product, combined with key indicators of risk, enables software teams to focus on key areas of their product. Without this ability, users have to acquire multiple third-party reporting products and integrate each individual tool.