Like an ogre One of my colleagues had an opportunity to work closely with Clover's HTML code coverage report. After several days, he stated: "Do you know? Clover's HTML report is like an ogre from the Shrek movie - it is composed of layers. Every time I thought I already learned this report, I was discovering new, tiny but yet extremely useful detail in it. I don't even know if I reached the bottom already." Layers of code coverage As a Clover developer, I know these reports from the inside-out.

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The Spock Framework is one of the best unit testing frameworks compatible with JUnit. It's based on the Groovy language and it takes its capabilities to an upper level (thanks to huge AST transformations performed during compilation). You can write beautiful yet powerful tests, including but not limited to: data series, mocking, behavior testing, and detailed reporting about failed assertions. I believe that the Atlassian Clover 3.3 is the best code coverage tool for Spock-based tests. Let me

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Atlassian is happy to announce the launch of Clover 3.2, the latest feature release of our award-winning tool for Java code coverage and test optimization. What's new in Clover 3.2? It comes with the Java 8 language support Clover can instrument, record code coverage, and calculate metrics for new Java 8 language features such as: Lambda functions (written as "one-liner" expressions, as well as code blocks in curly braces) Method references (such as "Math::abs") Virtual extension methods

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Clover Goes Mobile!

The Android market is rapidly increasing, being one of the most popular platforms, not only for customers, but also as a platform for developers to create their apps. Just few numbers: Google Play just hit 25 billion downloads in total (15 billion downloads in the last year) over 670,000 applications available on Google Play over 100'000 registered developers on Google Play over 500 million activations of Android devices, 1.3 million being added every day Taking into account this rapidly

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This is a guest post from Alex Van Boxel, Software Engineer working at Alcatel-Lucent Antwerp. His pet interests within software are to keep the quality high, smooth running builds and the engineers productive. He believes having the complete Atlassian tool-chain certainly helps.   Finally we got it working... we wanted to know what our total test coverage was on our product with all the effort we did over the last year by adding new tests. It wasn't easy because once you leave the

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NASA's Jet Propulsion Laboratory (JPL) uses a host of Atlassian products to build the software used for flight mission planning as well as modeling data sent back from satellites and Mars rovers. I sat down with David Mittman, lead software developer and "default Atlassian guy" at JPL to get a closer look at what they're up to. JPL was founded in the 1930s as a place to test new rocket technologies, and—after the creation of NASA in 1958—was chartered with developing the robotic spacecraft

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