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

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Senyo Simpson discusses how Rust's core ...

Talk to any industry insider, and they’ll tell you that the landscape of software testing is undergoing a paradigm shift that’s rendering many existing practices inadequate. The pace of software ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

Just 10 years ago, most application development testing strategies focused on unit testing for validating business logic, manual test cases to certify user experiences, and separate load testing ...

Adaptive testing in integrated circuits (ICs) has emerged as an innovative strategy to optimise and streamline the evaluation of increasingly complex semiconductor devices. By incorporating machine ...

Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety. Devops teams aim to increase deployment frequency, reduce the number of ...

The machine learning field is moving fast, and the yardsticks used measure progress in it are having to race to keep up. A case in point, MLPerf, the bi-annual machine learning competition sometimes ...

An innovative strategy that analyzes specific regions of the genome offers the possibility of early diagnosis of schizophrenia, reports a team led by researchers at Baylor College of Medicine. The ...