Discover how AI and machine learning reduce flaky tests, cut maintenance costs, and improve accuracy in modern automated testing.

Automated Test Case Generation: The process of using algorithmic strategies to automatically create input data for software testing, aiming to achieve specific coverage criteria.

The challenge is generating test data. One approach is synthetic data generation, which uses different techniques to extrapolate data sets based on a model and set of input patterns. Synthetic ...

Synthetic Test Data Generation Synthetic data simulates real-world datasets without relying on actual production data, eliminating security and compliance risks.

Better testing means better software. Using NLP, test data generation, and optimized testing can quickly improve applications.

Product teams face issues around poor practices in test data management and failure to comply with data regulations – we look at ways to address those issues.

Synthesizer is Aviva’s in-house synthetic data generation tool, purpose-built to meet the growing demand for high-quality, privacy-compliant test data. Designed with flexibility and scale in ...

MOSTLY AI, who pioneered the creation of AI-generated synthetic data, has today launched new editions of its platform, for mid-market businesses wanti ...