What Is The News?
Diffblue announced the launch of Diffblue Cover Pipeline for GitHub Actions, an essential CI pipeline integration capability that enables unit test generation at scale and unit test automation for teams using GitHub Actions CI/CD pipeline workflows, consistently ranked by developers as the best or among the top 5 pipelines.
The new integration brings the power of Diffblue Cover directly into GitHub pipelines, autonomously writing Java unit tests for projects on pull requests. Available for Diffblue Cover Teams and Enterprise editions, this integration makes continuous unit testing simple and scalable for agile Java development teams.
Why Does This News Matter?
The GitHub Actions integration enables agile Java teams using GitHub CI to understand the impact of changes and increase the speed and quality of releases across their entire enterprise application portfolio. Use cases include achieving higher code quality and reliability, increasing code coverage, and supporting application modernization initiatives such as cloud migration and microservices re-architecture.
“Effective CI needs good tests and good coverage. Too few tests cause code changes to introduce regressions, and bugs and to ‘break’ the build, which means CI can’t be continuous, defeating their purpose,” said Mathew Lodge, CEO of Diffblue. “Diffblue Cover Pipeline for GitHub automates unit test generation and execution at scale, helping teams achieve the code quality and coverage targets needed for successful CI/CD and at the speed of their workflows.”
Benefits
Key benefits of Diffblue Cover Pipeline for GitHub Actions include:
- Scalable autonomous AI test generation and maintenance for teams;
- Unit test automation directly in a GitHub Actions CI pipeline;
- AI-powered regression testing;
- Comprehensive unit test quality for enterprise applications;
- Accelerated CI/CD delivery and reduced unit test failures;
- Unblocked CI pipelines with increased code coverage.
Diffblue Cover revolutionizes Test-Driven Development (TDD) for developers by automatically writing and maintaining unit test suites. Developers can rely on autonomous unit test generation, refactoring, and continuous feedback as they build, allowing them to spend more time writing application code and less time on test code, fixing regressions, debugging errors, and resolving merge conflicts.
Conclusion
Diffblue Cover Pipeline delivers autonomous unit test generation and maintenance at scale; which in turn reduces test failures, creates lower overhead per code change, and reduces the time between code commit and that code running in production.
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By integrating Diffblue Cover (via Diffblue Cover Pipeline) with GitHub Actions, we’ve made it easier for millions of GitHub developers to take full advantage of autonomous AI-powered unit test generation, test maintenance, and regression detection for Java application development.
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