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Optimizing Test Execution With Test Impact Analysis

Accelerate testing feedback with Parasoft’s test impact analysis (TIA). Eliminate lengthy regression test executions, embrace faster feedback cycles, and unlock higher efficiency across the SDLC.

Get Faster Feedback From Regression Testing

Test execution can become time-consuming as the number of test cases grows. Parasoft’s test impact analysis optimizes test executions across the SDLC, boosting team agility by delivering faster feedback on the impact of application changes.

Accelerate Test Cycles

Speed up test cycles and increase testing efficiency by targeting execution solely on test cases relevant to recent application changes.

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Reduce Testing Costs

Optimize testing efforts, focus resources on areas affected by changes, and minimize unnecessary infrastructure resource consumption to reduce testing costs.

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Test Impact Analysis for UI Testing

Tired of slow UI test execution? Accelerate feedback. Minimize the number of UI test executions required to validate application changes.

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TIA for APIs & Distributed Microservice Architectures

Easily identify what test cases to run to validate application and service changes, even in complex distributed microservice architectures.

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Test Impact Analysis for Unit Testing

Stop waiting for nightly regression runs. Get feedback faster. Run TIA in the IDE or incremental CI/CD pipeline builds.

Jump to: Unit Testing»

Accelerate Test Cycles

Leverage test impact analysis to accelerate testing cycles by focusing testing on recently modified areas of the codebase. Easily ensure that code changes don’t introduce new defects or break existing functionality.

How It Works

Traditional testing methods often involve running the entire test suite regardless of the scale of changes made to the codebase, resulting in time-consuming and resource-intensive testing cycles. In contrast, TIA focuses test executions exclusively on the areas of the application affected by recent changes, ensuring that testing efforts are targeted and efficient. 

Use Parasoft’s test impact analysis to easily identify and correlate recent code changes to impacted test cases, selectively running only the relevant test cases needed to validate changes. With TIA, teams can swiftly identify potential issues introduced by modifications. As a result, they reduce the risk of regression bugs and enhance overall software quality.

Read Blog: Optimize Test Execution With Test Impact Analysis »

Text on left in top image: Reduce text execution time with TIA in your CI/CD pipelines with an image of a female developer running CI with test impact analysis reducing her text execution time by 90%. The bottom image is a bar graph shows the time saved by comparing 5 sets of builds: with TIA versus without TIA.

Reduce Testing Costs

Streamline test execution to reduce testing costs. Efficiently allocate resources by focusing on critical areas affected by changes and minimizing unnecessary testing. This targeted approach ensures optimized testing efforts, leading to cost savings and improved ROI.

Graphic of a dollar sign with a downward arrow indicating cost reduction.

How It Works

Test impact analysis reduces testing costs by optimizing how testing resources are allocated. TIA pinpoints and executes only the relevant test cases impacted by changes. Teams streamline their testing processes, eliminating the need for extensive and resource-intensive testing cycles. 

This targeted approach saves valuable time and effort. It also reduces cloud and infrastructure costs associated with CI/CD pipelines because fewer resources are required for executing tests.

Read Blog: Test Smarter, Not Harder: Shift Testing Left & Right With Test Impact Analysis »

Test Impact Analysis for UI Testing

Increase the efficiency of UI testing by focusing executions on only the subset of test cases that correlate to applicate change, significantly reducing test execution times.

How It Works

UI testing is resource intensive. When the test suite is large, executing the entire suite is time-consuming and causes down times as testers wait for feedback from tests run. The delayed feedback reduces the agility of the team and throttles their testing velocity. UI testing teams can easily enable test impact analysis inside their CI/CD pipeline and execute only the subset of test cases that are necessary to validate that code changes have not broken existing functionality or introduced new defects. 

Test impact analysis is a built-in feature of Parasoft’s Selenic and SOAtest solutions for automated functional testing. Leverage Selenic to easily run TIA on Java-based Selenium test cases. Use SOAtest to run test impact analysis on web UI and end-to-end test cases created with SOAtest. For applications written in Java or .NET, integrate Parasoft test impact analysis with various testing frameworks such as Playwright, Cypress, or Ranorex.

Read Blog: Use Test Impact Analysis With Any Test Framework »

Graphic showing two graphs: CI test runs without test impact analysis versus with test impact analysis.

Test Impact Analysis for APIs & Distributed Microservice Architectures

Teams can ensure the functionality and stability of APIs and microservices more efficiently by running TIA to determine which test cases need to be executed to validate application change, accelerating testing agility and velocity.

Graphic showing test impact analysis identifying which tests need to be executed to validate application change in distributed microservices architectures.

How It Works

In end-to-end testing of distributed microservices, the challenge lies in determining the relevant test cases needed to validate changes in downstream microservices. Test impact analysis is a crucial tool in this landscape, offering clarity amidst the intricate web of interconnected services. 

By pinpointing the specific microservices that were changed, TIA enables teams to streamline their testing efforts, accelerating the CI/CD workflow. This targeted approach ensures the integrity of APIs in microservice architectures and also fosters higher levels of agility and test velocity, vital in environments where releases occur multiple times per day. 

For applications written in Java and .NET, teams can leverage our solutions to gather and analyze code coverage from automated API and end-to-end test executions, regardless of the testing framework. This provides coverage and traceability even in distributed microservice architectures. When teams run test impact analysis in their CI/CD pipelines, they can easily validate application changes in complex environments without running the entire regression test suite.

Read Blog: Overcoming the Challenges of Microservices Testing & Maximizing the Benefits »

Test Impact Analysis for Unit Testing

Execute test impact analysis to expedite unit testing feedback, minimizing the risk of build failures caused by broken test cases or newly introduced defects from code changes.

How It Works

Tired of committing code only to find out later that it breaks the build due to failing tests? Running test impact analysis in the IDE for Java applications enables developers to easily identify what test cases should be executed to validate their code changes locally before they commit the code to source control. This reduces the risk of regression bugs and minimizes the likelihood of build failures. 

In CI/CD pipelines, speed is essential. Yet, running an entire unit test suite each time code changes may slow down the process significantly. Our solutions enable Java and .NET application teams to get faster feedback by optimizing their CI/CD pipelines with test impact analysis. Automating the selection of test cases that correlate to changes in the code base and ensuring only the relevant test cases get executed makes development teams more agile and iterative when bringing software to the market.

Screenshot of Jtest in the Eclipse IDE showing test cases that correlate to recent code modifications.