IntelliJ IDEA是可以帮我们进行 Code Coverage 测试的。 公司方面因为有新的要求,必须要达到多少的代码覆盖率,同时他们设置了 POM 中 JCoCo 的配置,如果达不到就不让编译通过有点头疼。 IntelliJ IDEA 是可以帮我们实现这个本地的快速代码覆盖率查看的。 找到任何一个测试代码,然后选择运行代码同时进行代码覆盖检查。
In this edition, you will discover how AI-driven solutions, like generative AI and LLMs, are revolutionizing test automation, increasing efficiency, and improving collaboration across teams. You will also explore tools and platforms transforming the way DevOps engineers work, from mobile test automati...
RoostGPT by Roost.ai uses generative AI and LLMs like GPT-4, Gemini, Claude, Llama3 to generate test cases, ensuring 100% improved test coverage.
For theUnit Test Explorer adapter for Visual Studio 2012Chutzpah piggybacks on the existing “Analyze Code Coverage” menu option and uses it to run with code coverage and show the results in a browser. Ideally, Chutzpah would integrate into the code coverage reporting built into VS but I ...
UTMath: "UTMath: Math Evaluation with Unit Test via Reasoning-to-Coding Thoughts" [2024-11] [paper] CoCoP: "CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt" [2024-11] [paper] REPL-Plan: "Interactive and Expressive Code-Augmented Planning with Large Language Mo...
Now you know how to leverage the power of tools like ChatGPT to write unit tests for your Python code. You’ve used the LLM to generate tests using different tools, including doctest, unittest, and pytest. In the process, you’ve learned how to create test cases, fixtures, test suites,...
Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞 - qodo-ai/qodo-cover
Instruction complexity: People always hope that Code LLM can write more complex programs.Thus, we train a Complexity Scorer to measure the complexity of each sample. Response quality: We use the number of passed test cases as a measure of code coverage quality. We train a Unit Test Model to...
Write unit tests for your code and ensure good test coverage Detect common security vulnerabilities and issues Identify inefficient algorithms and write faster alternatives AI assistants and LLMs can also act as interactive mentors for junior developers. To explore how to use AI tools to improve the...
Compared to MuTAP, a mutation- and LLM-based test generator, CoverUp achieves an overall line+branch coverage of 90% (vs. 77%). We also demonstrate that CoverUp's performance stems not only from the LLM used but from the combined effectiveness of its components. PDF Abstract ...