Static Code Analysis Solutions & Tools for Compliance

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Static Code Analysis

Improve Code Quality & Cut Defect Costs With Static Analysis

Elevate software development processes with proactive code quality assurance and cost-saving defect reduction through Parasoft’s integrated static code analysis solutions. Automated scanning techniques detect vulnerabilities, security flaws, and coding errors early in the SDLC, ensuring regulatory compliance and quality across all projects.

Read Blog: Best Practices for Using Static Analysis Tools »

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.

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, Parasoft 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 a wide array of techniques including the following:

AI/ML
Pattern recognition
Rule-based analysis
Data and control flow analysis
Metrics analysis

Screenshot of Parasoft C/C++test static analysis showing a link to a quick fix for a violation.

Screenshot of C/C++test configuration options

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, it ensures that code quality checks occur automatically at every stage of development—from initial code commits to final deployment.

C/C++test automates risk mitigation, optimizes productivity, and elevates the overall quality of software projects.

Renovo Satisfies ISO 26262 Safety & Security Coding Requirements

100%
Achieved compliance for CERT and AUTOSAR C++14.
Reduced
Time to market.

Read Case Study

Static Analysis for Java

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 for the violations to prioritize 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

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.

Read Case Study

Static Analysis for .NET/C#

Teams developing C# and VB.NET projects can turn to our static analysis solution, Parasoft dotTEST, to enhance code quality, detect vulnerabilities early in the SDLC, optimize performance, and efficiently deliver secure, reliable software.

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.

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.

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Static Analysis Advanced Reporting & Analytics

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

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