Eliminate Testing Barriers With AI Software Testing

Perforce is at the forefront of transforming continuous testing within the DevOps lifecycle with an AI that will eliminate testing barriers. Our AI-first strategy transcends the need for manual work, testing frameworks, and exploratory testing to empower teams to focus on what matters—development and growth.

INTRODUCING

BlazeMeter AI-Powered Software Testing

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This is software testing reimagined. Dynamic, real-time, and seamlessly integrated across all platforms — web, mobile, and packaged applications. With an AI-first focus at every stage of the testing process, high-quality software can be achieved faster than ever before.

Unprecedented Speed, Security, and Quality

With BlazeMeter by Perforce, AI takes the best of testing and removes the worst of it. When you test with BlazeMeter’s AI Software Testing, your team will:

Increase Operational Efficiency

Empower your team to quickly identify and resolve the true root causes of failures, reducing the time spent sifting through error messages. 

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Ensure Robust & Reliable Tests

Identify objects on the page despite layout changes, ensuring robust and reliable tests. 

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Ensure Smooth Test Execution

Automatically detect when tests are blocked by pop-ups, ensuring smooth test execution.

Eliminate Script Dependency

Create and execute tests in plain language using AI, eliminating the need for scripts.

Get Reliable Test Data On Demand

Get reliable, accurate test data on demand, supporting comprehensive test coverage and superior production quality.

AI Continuous Testing Features

Pop-Up Detection

AI automatically detects and handles pop-ups during test execution. This prevents interruptions in test execution — particularly important for e-commerce and mobile applications.

Use Case: During a mobile banking app test, unexpected login pop-ups are detected and managed seamlessly.

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Self-Healing Object Identification 

Automatically adapt to UI changes and keep tests valid. This reduces test failures due to minor UI changes and ensures tests remain resilient.

Use Case: A retail application updates its promotions weekly. Self-healing adjusts tests to match changes without manual intervention.

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AI-generated synthetic test data for diverse and complex test scenarios. Users are provided comprehensive test coverage while ensuring security and compliance.

Use Case: Healthcare application testing requires hundreds of patient scenarios, which are generated while maintaining privacy compliance.

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AI-Powered Root Cause Analysis

Get to the root of the testing issue to discover the cause of test failures and be provided solutions. AI accelerates debugging, reduces downtime, and resolves test issues faster than ever.

Use Case: An e-commerce platform identifies and resolves performance issues with AI-driven root cause analysis pinpointing memory leaks.

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AI-Driven Test Validation

Users can automate visual validation across all devices. This enhances testing for visual and dynamic content — thereby reducing tedious manual checks.

Use Case: A streaming service uses AI validation to ensure correct content display across all screen sizes and devices.

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AI-Driven Test Execution

AI automates test execution and adapts to codebase changes in real time. This removes the need for manual script creation and streamlines testing across all platforms.

Use Case: A global retail brand uses AI-driven execution to run tests across all devices, adjusting automatically to each platform.

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Auto-Scaling for Test Data Generation

Automatically generate visual test data and scale based on any demand. This increases efficiency for image-heavy applications and ensures comprehensive coverage.

Use Case: An online retailer generates product image tests across multiple platforms without manual input.

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Four Pillars of AI-Powered Continuous Testing

1. AI-Driven Test Creation

AI instantly converts natural language inputs, user stories, app logs, and production flows into automated, actionable test cases. Unlocks testing for everyone by generating robust test plans & removing the need for user-generated scripts.

2. AI-Driven Test Execution

AI manages the execution of both mobile and web scripts autonomously. Adapt in real-time to changes to ensure flawless execution across platforms. An execution process that’s faster, more reliable, and independent of manual intervention. 

3. AI-Driven Test Analysis

Achieve instant answers when AI-driven diagnostics pull from APM data, app logs, and production environments to pinpoint failures. Make rapid, data-driven decisions based on AI’s highlighting root causes faster than ever.

4. AI-Driven Test Maintenance

AI keeps every test up-to-date and automatically adapts to every change in the application — eliminating the need for ongoing maintenance. AI ensures your testing always evolves with the code — freeing you to accelerate release cycles without worrying about upkeep. 

Your Trusted Testing Partner

By embracing performance testing innovation with an eye on the future of testing, BlazeMeter enables teams to create, test, and release high-quality software faster than ever.

BlazeMeter is at the forefront of continuous testing’s future. By embedding AI into every stage of the testing lifecycle — from test creation to analysis and maintenance — we are transforming entirely the way software is tested and delivered.

Experience the Future of Testing Today

Request your custom demo of our AI-powered continuous testing platform today.

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