BlazeMeter Test Data Pro: AI-Driven Test Data Generation & Beyond

We’re thrilled to announce the launch of BlazeMeter Test Data Pro — the AI-driven test data automation suite. BlazeMeter's Test Data Pro enhances test data through its AI-Driven Data Profiler, boosts system resilience with Chaos Testing, and streamlines the process of data generation AI-Driven Data Creator. These AI-driven functionalities offer unparalleled improvements in testing efficiency, coverage, and quality.

Experience the future of test data with Test Data Pro — request a demo today to see it in action!

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Test Data Generation: The Issues

Test data is the input data used to execute software tests. It includes parameters, variables, and records. By using test data, QA, testers, and developers can simulate real-world usage of applications and software, which helps test for expected outcomes. 

Comprehensive and high-quality test data ensures that test results are thorough and accurate, and that the application will be more robust. On the other hand, low quality or inadequate data will result in incomplete test scenarios and missed issues. 

Using real production data as test data is usually not an option, since it risks exposing sensitive information and violating compliance regulations. Therefore, many organizations opt to use synthetic or mock data. Synthetic data provides more flexibility and control without compliance risks. 

However, manually generating high quality synthetic data is time consuming and resource intensive, which limits the volumes of data that can be generated. Consequently, it’s challenging to maintain data consistency across tools, tests, and environments or to simulate complex real-world data relationships and dependencies. This is where BlazeMeter Test Data Pro comes in. 

Test Data Pro Capabilities

With BlazeMeter Test Data Pro, users can circumvent traditional test bottlenecks using: 

AI-Driven Precision

Test Data Pro employs generative AI to instantly profile and create data generating functions and test data from scratch, including complex data types such as structured data sets requiring multiple fields (e.g., first name, last name, address). This precision ensures that users have the exact data needed to properly execute tests, increasing testing velocity and accuracy. This includes synchronizing the data driving the test, data in mock/virtual services, and data in systems under test.  

Expanded Coverage

By seamlessly creating diverse data sets, Test Data Pro enables comprehensive testing coverage across a wide array of scenarios including negative testing. This comprehensive approach helps identify potential issues faster.  

Accelerating Testing While Maintaining Data Privacy

Test Data Pro maximizes testing velocity while protecting sensitive customer data. By automatically generating synthetic yet realistic test data, teams avoid using real production data in testing environments. This eliminates data privacy concerns and compliance risks.   

Chaos Testing for Resilience

Test Data Pro introduces chaos testing by intermixing positive and negative test data during test executions. This allows users to gauge system resilience and validate application performance under circumstances they would normally not have tested.  

BlazeMeter is the only solution that provides these capabilities out-of-the-box, fully integrated into the platform. 

Test Data Pro: Features

Test Data Pro provides four new innovative features that benefit BlazeMeter users. 

1. AI-Driven Data Profiler

The new AI-driven data profiler enhances test data by using AI to identify and expand hard coded data in tests. First, data is garnered from predefined lists, like specifications or recordings. Then, it is automatically generated and added to the test. To streamline efforts even further, relevant data generation expressions are suggested. 

2. AI-Driven Test Data Creator

Generative AI can be used to streamline and optimize test data generation, which is exactly what this feature enables. The test data creator converts human-readable text to test data functions using generative AI. It analyzes test context, CSV files, and inputs to suggest appropriate test data functions. 

3. AI-Assisted Test Data Function Generator

Spend far less time building test data functions with an AI-Assisted Function Generator. Use natural language to create functions without coding or memorizing names. 

4. Chaos Testing