Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

Abstract: This paper presents a retrospective of the article “Whole Test Suite Generation”, published in the IEEE Transactions on Software Engineering, in 2012. We summarize its main contributions, ...

Abstract: The rapid evolution of software development necessitates efficient unit testing to ensure reliability, yet manual test case generation is labor-intensive and often inadequate for agile ...

AssertJ provides a rich and intuitive set of strongly-typed assertions to use for unit testing (with JUnit, TestNG or any other test framework). AssertJ's ambition is to provide a rich and intuitive ...

Automated unit test case generation tools facilitate test-driven development and support developers by suggesting tests intended to identify flaws in their code. Existing approaches are usually guided ...

Learn how to write and validate unit tests with JUnit 5. This article shows you how to configure a Maven project for JUnit, write basic and parameterized unit tests, and use JUnit 5’s built-in ...

Oracle has announced plans for an AI-powered service to help developers rapidly program apps based on Java, SQL and the Oracle Cloud infrastructure. When released, Oracle Code Assist will join a small ...

Stand back and take a look at the last two years of AI progress as a whole... AI is catching up with humans so quickly, in so many areas, that frankly, we need new tests. Stanford University’s ...

AI struggles to generate accurate unit tests, with success rates as low as 29%. Despite high code generation success, AI's test accuracy for Java and Python is critically flawed. Automated test ...

Unit tests are aimed at testing small isolated components of code that can be predictably executed any number of times to yield the same outcome. Mocks provide a convenient mechanism to circumvent ...