Ndepend for Developer - 1 Year Subscription
Product type:
1 - 2 User(s)
3 - 5 User(s)
6 - 10 User(s)
11 - 20 User(s)
21 - 999 User(s)
360.05 CHF
for EU and non-EU countries (except Switzerland) including 0% VAT
389.21 CHF
for Switzerland including 8.1% VAT
Free electronic delivery - 1-3 working days
Minimum order quantity - 3
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NDepend for Developer by ZEN PROGRAM HLD is a powerful static analysis tool designed to enhance the quality and maintainability of your .NET codebase.
- Visual Studio Integration: Seamlessly integrates with Visual Studio versions 2010 through 2022, providing real-time code analysis and feedback within your development environment.
- Comprehensive Code Metrics: Offers over 100 code metrics, including Lines of Code, Cyclomatic Complexity, and Coupling, enabling you to assess and improve code quality effectively.
- Dependency Visualization: Utilizes interactive dependency graphs and matrices to help you understand and manage complex code dependencies, facilitating better architectural decisions.
- Customizable Code Rules with CQLinq: Allows the creation of custom code rules using CQLinq (Code Query over LINQ), enabling tailored analysis to enforce your team's coding standards.
- Technical Debt Estimation: Provides smart estimations of technical debt, helping you prioritize refactoring efforts and maintain a healthy codebase.
- Trend Monitoring: Tracks code quality trends over time, allowing you to monitor improvements and identify potential regressions in your codebase.
- CI/CD Integration: Integrates with various CI/CD pipelines, including Azure DevOps, GitHub Actions, Jenkins, and TeamCity, ensuring consistent code quality across development stages.
- Interactive Web Reports: Generates detailed, interactive web reports that provide insights into code quality, dependencies, and technical debt, accessible from any platform.
- Baseline Comparisons: Compares current analysis results with a baseline to highlight new issues, helping you focus on recent changes and maintain code quality over time.
- Performance Optimization: Optimized for speed and efficiency, analyzing large codebases swiftly without significant impact on system resources.