Posts with tag: Non-functional
Code coverage of Ruby on Rails application with simplecov
How to measure code coverage of Ruby on Rails application with simplecov.
Avoid multithreading problems in Java using ThreadLocal
What are common approaches to deal with multithreading problems in Java. What is ThreadLocal and how to use it.
Performance testing with Gatling - reports
Some details on Gatling results report.
Performance testing with Gatling – advanced usage
Code samples and explanation how to do advanced performance testing with Gatling, such as proper scenarios structure, checks, feeding test data, session maintenance, etc.
Performance testing with Gatling - integration with Maven
Code samples and explanation how to create performance testing project with Gatling and Maven and run it with Maven plugin.
Performance testing with Gatling - recorded simulation explanation
Explanation of automatically generated code of recorded Gatling simulations.
Performance testing with Gatling - Scala fundamentals
Tutorial that covers basic Scala functionalities that may be needed during Gatling automation.
Performance testing with Gatling - record and playback
How to record a simulation with Gatling recorder and play it back.
Performance testing with Gatling
Tutorial how to use Gatling and do successful performance testing with it.
Performance, Load, Stress and Soak testing
Performance, Load, Stress and Soak testing are different aspects of one goal - proving that application will function correctly with a large number of users.
Code coverage with JaCoCo offline instrumentation with Maven
Tutorial how to do code coverage with offline instrumentation with JaCoCo and Maven.
Automated code coverage of unit tests with JaCoCo and Maven
Tutorial how to setup code coverage with JaCoCo on unit tests to be done on each Maven build.
Code coverage of manual or automated tests with JaCoCo
Tutorial how to do code coverage on automated or even manual functional tests with JaCoCo.
How to do proper performance testing
Describe what actions are needed in order to make successful performance testing.
What about code coverage
Code coverage is a measurement of what percentage of program source code is being executed by your tests. Code coverage is a nice to have, but in no case make code coverage ultimate goal!