The process of software testing has evolved with the advent of artificial intelligence (AI). Conventional testing methods in the past were unable to keep pace with the complex and rapidly changing software. AI-driven End-to-End testing has emerged as a transformative approach towards software testing. AI E2E testing is the process of automating and improving the…
The next phase of software quality assurance is represented by agent to agent testing. In which several AI bots work together seamlessly to validate programs in ways that go beyond conventional automation. Agent-to-agent testing allows autonomous agents to communicate, exchange results, modify tactics, and jointly guarantee larger coverage of test scenarios. In contrast to single-scripted…
To maintain application quality at scale in the fast-paced world of agile development, automation testing is essential. However, flaky tests are an ongoing issue that continues to affect the reliability of automated testing. Tests that pass or fail periodically without calling for modifications to the code, environment, or insights are known as flaky tests. These…