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We’re thrilled to announce that Andrew Filev will be speaking at Web Summit Qatar in February 2025!
Unlock the Secrets of Developer Productivity: Essential Strategies for SaaS Success.
Blog
Stay updated with the latest industry news and expert insights.
Webinars
Explore the webinars we’re hosting online.
Help Center
Find detailed guides and documentation for all product features.
Community
Join our vibrant community to connect and collaborate with peers.
Support
Get help and share knowledge in our community support forum.
Glossary
Understand key terms and concepts with our comprehensive glossary.
Develop a product you can use yourself, eliminating routine tasks and focusing on impactful work.
About us
Discover the story behind our company and what drives us.
Newsroom
Latest news and updates from Zencoder.
Careers
Explore exciting career opportunities and join our dynamic team.
Events
Explore the events we’re participating in around the globe.
Contact us
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Cyclomatic Complexity is a measure used in software development to evaluate the complexity of a program. It assesses the number of independent paths through the program's source code, indicating its complexity and potential for errors.
The main purpose of Cyclomatic Complexity is to identify complex areas within the code that may be harder to understand, test, and maintain. It helps developers pinpoint where simplification or refactoring may be beneficial.
Cyclomatic Complexity counts the number of decision points or branches in the code. Each decision point represents a potential path through the program. A higher Cyclomatic Complexity score suggests a more intricate program structure.
By measuring Cyclomatic Complexity, developers can prioritize testing and debugging efforts more effectively. It promotes code quality improvements by encouraging simpler and more manageable code structures.
Cyclomatic Complexity provides valuable insights into the structure and potential risks of software code. By understanding and managing complexity, developers can enhance code maintainability, reduce errors, and improve overall software reliability.
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