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What is Visual Expert?

Visual Expert serves as a comprehensive static code analysis tool tailored for Oracle PL/SQL, SQL Server T-SQL, and PowerBuilder. This powerful utility pinpoints code dependencies, enabling modifications without jeopardizing application stability. In addition, it meticulously inspects your code for security vulnerabilities, quality concerns, performance bottlenecks, and maintainability challenges. It facilitates impact analysis to identify potential breaking changes. The tool performs thorough scans to uncover security flaws, bugs, and maintenance hurdles. You can seamlessly incorporate continuous code inspection into your CI workflow. Furthermore, Visual Expert enhances your understanding of code dynamics, providing detailed documentation through call graphs, code diagrams, CRUD matrices, and object dependency matrices (ODMs). With the capability to automatically generate source code documentation in an HTML format, navigating your code becomes effortless with built-in hyperlinks. The tool also allows for comparison between two code segments, databases, or entire applications. By focusing on maintainability, it helps in cleaning up code to adhere to development standards. Additionally, it evaluates and enhances database code performance by identifying slow objects and SQL queries, optimizing them, and displaying query execution plans for better insights. Overall, Visual Expert is essential for developers aiming to improve code quality and performance.

What is CodeQL?

Identify vulnerabilities in your codebase with CodeQL, a top-tier semantic analysis tool designed for code evaluation. CodeQL allows you to analyze code as data, facilitating the creation of queries that can detect every variant of a security flaw, ultimately ensuring its complete eradication. By disseminating your discoveries, you can aid others in this essential endeavor. This powerful tool is freely available for both research initiatives and open source projects. With CodeQL seamlessly integrated into Visual Studio Code, you can run actual queries against popular open source codebases, witnessing firsthand how effectively it can highlight poor coding practices and identify similar issues throughout the entire codebase. Additionally, you have the flexibility to construct your own CodeQL databases for any project adhering to an OSI-approved open source license. It is crucial to understand that GitHub CodeQL is limited to application on codebases that are either released under an OSI-approved open source license, used for academic purposes, or leveraged to create CodeQL databases for automated analysis. To initiate your journey, simply download and incorporate the relevant CodeQL database into VS Code, or generate a CodeQL database via the command-line interface, which will significantly enhance your code's security. By utilizing CodeQL, you not only bolster your own project but also contribute to fostering a more secure coding landscape for the entire developer community. This collaborative effort ultimately leads to greater code quality and a safer environment for all.

Media

Media

Integrations Supported

GitHub
Apache Subversion
Azure DevOps Server
Git
GitLab
Java
Jenkins
Oracle Database
PowerBuilder
SQL Server
Visual Studio
Visual Studio Code

Integrations Supported

GitHub
Apache Subversion
Azure DevOps Server
Git
GitLab
Java
Jenkins
Oracle Database
PowerBuilder
SQL Server
Visual Studio
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

$495 per year
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Novalys

Date Founded

1998

Company Location

France

Company Website

www.visual-expert.com

Company Facts

Organization Name

GitHub

Date Founded

2008

Company Location

United States

Company Website

codeql.github.com

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Performance Testing

API Testing
Benchmarking
Cross Browser Testing
Debugging
Historical Reporting
Load Testing
Mobile Testing
Parallel Testing
Regression Testing
UI Testing
Web Testing

Source Code Management

Access Controls/Permissions
Bug Tracking
Build Automation
Change Management
Code Review
Collaboration
Continuous Integration
Repository Management
Version Control

SQL Server

CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring

Static Application Security Testing (SAST)

Application Security
Dashboard
Debugging
Deployment Management
IDE
Multi-Language Scanning
Real-Time Analytics
Source Code Scanning
Vulnerability Scanning

Static Code Analysis

Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management

Vulnerability Management

Asset Discovery
Asset Tagging
Network Scanning
Patch Management
Policy Management
Prioritization
Risk Management
Vulnerability Assessment
Web Scanning

Categories and Features

Static Code Analysis

Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management

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