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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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Mutation Testing is a method used to evaluate the quality of software tests. It involves making small changes, or "mutations," to the program's code to see if the tests can detect these changes. The goal is to ensure that the tests are thorough and can catch errors.
The main purpose of Mutation Testing is to check the effectiveness of existing test cases. By introducing intentional errors into the code, developers can see if the tests are capable of identifying and catching these errors. This helps improve the overall quality of the test suite.
Mutation Testing works by making small modifications to the code, such as changing operators or values. These modifications, called mutants, are then tested against the existing test cases. If a test case fails, it means the test is effective at catching the mutation. If the test case passes, it indicates that the test might not be thorough enough. This process helps identify weak spots in the test suite that need improvement.
Mutation Testing is a valuable technique for evaluating and improving the quality of software tests. By introducing small changes to the code and checking if tests can detect them, developers can ensure their tests are effective and comprehensive. This leads to more reliable software and greater confidence in its performance.
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