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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
If you have any questions, concerns, or inquiries.
Branch Coverage is a testing technique used in software development to ensure that all possible branches (decisions) in the code are executed at least once during testing. It helps in assessing how much of the code's decision-making logic has been tested.
The main purpose of Branch Coverage is to identify parts of the code that have not been adequately tested. By ensuring that all branches are covered, developers can increase confidence in the reliability and correctness of the software.
In Branch Coverage, testers create tests that exercise different paths or decisions within the code. These tests aim to verify that each branch, including both true and false outcomes of conditional statements, is executed during testing.
Branch Coverage helps in reducing the risk of undetected bugs by ensuring comprehensive testing of decision-making paths in the code. It promotes better code quality and reliability by providing insights into untested areas that may require additional testing efforts.
Branch Coverage is a valuable practice in software testing, contributing to improved software quality and minimizing potential defects by thoroughly testing decision-making pathways within the code.
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