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As test suites expand over time, execution becomes slower and more resource-intensive, making it harder to keep up with rapid release cycles. Test impact analysis (TIA) pinpoints the exact tests impacted by code changes, so you run fewer tests while maintaining coverage. The result: faster feedback, shorter cycles, lower costs, and higher team agility across the SDLC.
Too many tests, too little time? Focus manual testing only on changed areas of the application and gain confidence you’re testing the right things.
Jump to: Manual Testing
Running full UI and E2E suites wastes time when only a fraction of the tests are relevant to validate changes each build. TIA identifies and runs just those tests, speeding feedback.
Jump to: UI Testing
Use TIA to precisely identify the right subset of tests to run even when the changes are in distributed microservice components.
Jump to: APIs & Microservices
Stop waiting for nightly regression runs. Validate code changes as they occur with live unit testing in the IDE, or use TIA to check for regression issues in feature branches before code is merged.
Jump to: Unit Testing
Manual regression testing doesn’t have to be a race against the clock. With Parasoft TIA, you no longer need to run the entire suite after each change. Instead, you can pinpoint which manual tests were impacted by recent code changes, so that testing takes less effort while ensuring critical defects aren’t missed.
First deploy Parasoft’s Java or .NET code coverage agents to each component in your environment. Parasoft CTP then enables you to easily manage the coverage agents in synchronization with manual test execution workflows, capturing exactly which parts of the code are exercised by each test case. Code coverage can be published into DTP for reporting and analysis.
When change occurs, TIA correlates modifications in the code base to the test cases that were impacted – even if the change is in a downstream microservice. You can easily view which test cases were impacted and should be re-run to validate changes.
This is especially valuable in agile sprints, where your time is limited and testing needs to keep pace with frequent code changes. With TIA you can validate new functionality more efficiently, reducing burnout while increasing your confidence that each iteration delivers the right quality.
Read Blog: How AI Increases Confidence for Manual Testers in a Changing Codebase »
Web UI and end-to-end test suites can slow pipelines when teams run too many or the wrong tests. By executing precisely the test cases needed to validate code changes, you get faster feedback and keep releases on track.
TIA is built into Parasoft’s functional solutions for web UI, API, end-to-end, and microservices test automation. Using an easy-to-integrate CLI, you can optimize CI/CD test executions to run just the test cases impacted by recent code changes.
Read Blog: Improving Test Execution With Test Impact Analysis »
Testing in distributed microservice environments is complex. A single change can ripple downstream, making it difficult to know which test cases actually need to be rerun. Running full regression suites to catch these impacts slows down CI/CD pipelines and drives up costs.
With Parasoft’s test impact analysis, you can focus on the tests that validate recent changes, even when the changes are in dependent microservices. This targeted approach reduces unnecessary test executions and helps you to find issues more efficiently.
Parasoft’s Java and .NET code coverage agents capture and analyze coverage data across your microservices, covering everything from automated API tests to full end-to-end executions in distributed environments. TIA maps code changes to impacted test cases and orchestrates their execution directly in your CI/CD pipelines. Parasoft test impact analysis works with any open source or third-party test framework, as long as the application under test is written in Java or .NET. The result: faster feedback, reduced overhead, and more confidence when it’s time to release.
Read Blog: How Test Impact Analysis Shortens Microservices Test Cycles for Faster, High-Quality Releases »
In the IDE, live unit testing automatically runs impacted tests as Java developers modify code, giving immediate visibility into broken functionality before changes are committed. This reduces regressions and prevents build-breaking defects from causing delays.
In CI/CD pipelines, running full unit test suites on every change wastes time and resources, especially when you’re trying to validate a feature branch before you merge it with the main repository. With CLI-based TIA, Java and .NET teams execute only the tests impacted by recent changes, accelerating validation while keeping pipelines lean and responsive.
Employ Parasoft’s test impact analysis to target changed code and identify the right subset of tests to validate those changes, like this customer.
