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 ...

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.

A next-generation multitarget stool DNA test, including assessments of DNA molecular markers and hemoglobin level, was developed to improve the performance of colorectal cancer screening, primarily ...

Synthetic data generation is particularly useful in small teams, Agile and DevOps operations because it does not hold up a sprint or other fast turnaround requirements.

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 ...

The next-generation fighter aircraft will be superior to the previous generation in stealth, networking and computing, sensing, and engines.