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Static Code Analysis Powered by AI for Faster Compliance & Elevated Quality
Remediate faster and smarter with AI-powered prioritization and code suggestions so you can release with confidence.
Static Code Analysis
Improve Code Quality & Cut Defect Costs With Naturally Integrated AI
Use static analysis workflows enhanced by AI to focus your team’s effort on what matters most—cutting through the noise to quickly identify and prioritize real issues in your code. With AI-generated code fixes, it’s easier to remediate flaws and vulnerabilities, so you can achieve compliance sooner and deliver with confidence.
Ensure Safety and Security Compliance
Deliver secure, compliant software using static code analysis solutions that efficiently identify and resolve vulnerabilities to ensure safety and regulatory adherence.
Reduce Cost by Preventing Code Defects
Find bugs early in the SDLC to save time and money on debugging, maintenance, and potential system failures while improving overall software reliability.
Apply Patented AI & ML for Productivity
Enhance static code analysis workflows with advanced algorithms that intelligently identify problems, prioritize rule violation findings, and simplify remediation steps.
Integrate Into the CI/CD Pipeline Easily
Ensure consistent code quality checks at every stage of the SDLC to minimize errors, accelerate deployments, and increase the efficiency of software delivery.
Static Analysis for C/C++
Development teams use Parasoft’s comprehensive C/C++ static analysis solution to identify and resolve code quality issues, enhance reliability and security throughout the development process, and satisfy compliance requirements. Gen AI and ML for static analysis further modernize automation, increasing productivity.
How It Works
Parasoft’s static analysis solution for C/C++ software development helps teams satisfy regulatory coding compliance requirements in safety, security, and reliability. With easy integration into developers’ IDEs (VS Code, Eclipse) and modern CI/CD development workflows, C/C++test analyzes the codebase, leveraging advanced algorithms to detect:
- Potential vulnerabilities
- Memory leaks and corruption
- Critical issues
- Coding standards conformance
C/C++test provides comprehensive coverage in identifying critical issues, potential pitfalls, and areas for improvement by utilizing techniques like AI/ML, pattern recognition, rule-based analysis, data and control flow analysis, and metrics analysis.
Teams can customize configurations to fine-tune analyses to align with project-specific requirements or compliance needs with coding standards like MISRA, CERT, AUTOSAR C++ 14, and more.
Once deployed, C/C++test becomes a valuable and integral part of the development workflow. When integrated as part of the CI/CD pipeline for continuous testing, code quality checks occur automatically at every stage of development—from initial code commits to final deployment.
How It Works With AI and ML
Parasoft’s AI assistant in the VS Code extension offering explains found static analysis violations to developers. To fix the violations, they get code suggestions from the integrated AI-powered assistant GitHub Copilot.
Here’s how our AI and ML static analysis works.
- Machine learning prioritizes violations based on historical triage data and risk patterns.
- Generative AI provides recommended AI-generated code fixes for faster remediation while maintaining high code standards.
- LLMs optionally integrate with LLM providers like GitHub and OpenAI for specific AI-generated code fix recommendations.
C/C++test automates risk mitigation, optimizes productivity, and elevates the overall quality of software projects.
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C/C++test 
CASE STUDY
|
Renovo Satisfies ISO 26262 Safety & Security Coding Requirements
100%
Achieved compliance for CERT and AUTOSAR C++14.
Reduced
Time to market.
AI That Helps You Fix Java Code Faster for Streamlined Compliance
Java development teams maximize the reliability and security of Java applications with Parasoft’s AI and ML augmented static analysis solution, which verifies Java code quality and checks compliance with security standards.
How It Works
Parasoft Jtest offers comprehensive coverage in standards like OWASP, CWE, CERT, PCI DSS, and DISA ASD STIG, ensuring thorough examination of code for potential defects. Customizable configurations allow teams to tailor the analysis for unique project requirements, enabling precise detection and mitigation of risks specific to an application with a minimum of noise. Use Jtest’s IDE-based Live Static Analysis to automate code scans during active development to identify and address coding flaws as they arise.
Optimized for issue remediation and privacy with patented on-premises AI and ML, Jtest’s static analysis works like this:
- Automatically analyzes past static analysis triage activity and provides AI-generated recommendations that identify which violations should be prioritized for remediation.
- Automatically assigns violations to specific developers based on historical experience and skill sets.
- Optionally integrates with various LLM providers like OpenAI and Azure OpenAI for specific AI-generated code fix recommendations that accelerate remediation steps.
Our static analysis solution for Java application development provides a comprehensive set of static analysis checkers and testing techniques that teams can use to perform static code analysis the following ways:
- In IDEs, like Eclipse, IntelliJ, and VS Code
- From the command line
- With build system plugins, like Jenkins, Maven, and Gradle, for automation and continuous integration scenarios
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Jtest 
CASE STUDY
|
Leonardo Significantly Improves Software Quality With Modern Static Analysis Solution
Parasoft’s static analysis provides “accurate analysis and ease of use."
Daniele De Nicola, Product Software Verification & Validation Supervisor at Leonardo
Increased
Code quality for Java applications.
Reduced
Costs by finding defects earlier.
AI-Driven .NET/C# Static Analysis for Faster, Safer Releases
Teams developing C# and VB.NET projects can leverage AI-driven static analysis with Parasoft dotTEST to detect vulnerabilities early in the SDLC and deliver reliable software more efficiently.
How It Works
Our static analysis solution for C# and VB.NET languages provides a comprehensive set of static analysis checkers that teams can use to:
- Verify compliance with security standards.
- Identify runtime problems early.
- Find code duplicates.
- Understand code complexity and structure to ensure that it’s reliable and maintainable.
Developers can perform static analysis by integrating Parasoft dotTEST into IDEs, like Visual Studio and VS Code, or using the command-line interface. It also seamlessly integrates into the development pipeline.
Use dotTEST’s Live Static Analysis in the Visual Studio IDE for autonomous code scanning during active development to identify and address coding flaws as they arise.
Teams get access to static analysis results immediately within the IDE and through generated reports (HTML, PDF, XML). They can also view insightful metrics, like number of defects, severity, and location within code on Parasoft’s reporting and analytics dashboard, DTP.
AI-optimized for issue remediation, dotTEST enables developers to remediate static analysis findings quickly through its integration with various LLM (large language model) providers like OpenAI and Azure OpenAI. With LLM integrations, developers can leverage GenAI to assist in situations where they may not be familiar with a specific rule or violation. Our solution provides:
- Information about what a rule or violation means.
- Why the rule or violation is important.
- Quick code fixes.
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dotTEST 
CASE STUDY
|
CAPITAL Services Improves Software Security & Quality With Parasoft’s AI-Optimized Regression Solution
Achieved
Compliance with PCI DSS.
Security
Improved with OWASP and CWE compliance.
Advanced Reporting & Analytics, Backed by AI
Teams gain clear visibility into analytics from build to build with Parasoft DTP’s comprehensive reports and dashboards. AI/ML assistance prioritizes violations to streamline the triage process. Teams can also generate the reports required to demonstrate compliance.
How It Works
Developers publish static analysis results from Parasoft C/C++test, Jtest, or dotTEST into Parasoft DTP, which consolidates the data in intelligent dashboards, detailed reports, and actionable analytics.
Teams can leverage pre-configured dashboards for compliance tracking and reporting to identify where to focus testing and triage efforts to achieve compliance targets.
AI improves each developer’s experience by assisting to prioritize violations. DTP’s interactive widgets show the number of violations from build to build by severity classifications or by the assigned developer. Teams can use DTP’s violation explorer to easily track violations, assign them to specific engineers for remediation, and set priority levels.
Here’s how AI/ML-based analytics streamline static analysis results triaging:
- ML-based build-to-build analysis of past static analysis triage actions predicts which violations to prioritize for remediation versus suppression.
- Group violations by root cause analysis with DTP’s hotspot widget to accelerate remediation of static analysis findings.
- Assign violations to specific team members based on their past experiences of fixing similar static analysis findings.
- Optionally integrate DTP with OpenAI or Azure OpenAI providers to see probability calculations on whether SAST violations are real vulnerabilities or false positives using DTP’s CVE Match analysis.
Read Blog: Modern Analytics for Modern Software Testing
DTP 
Elevate your software testing with Parasoft solutions.