A pivotal moment for testing has arrived with artificial intelligence, which enhances the discipline’s effectiveness without replacing testers. The ability to generate test cases, analyze defects, and automate reports improves coverage, accuracy, and trust in testing. This evolution supports both experienced testers and those new to the field, democratizing quality assurance.
The shift towards widespread testing (shift everywhere) leverages intelligent tools that enhance developer capabilities and foster shared responsibility for quality. Testers play a vital role in connecting business goals with technical realities, and now can focus on high-value tasks such as interpreting results and formulating insightful questions. Additionally, with the emergence of AI systems, the responsibility of ensuring reliability and compliance has increased, emphasizing the importance of ethical testing practices.
While no single solution will address all issues, organizations must adapt AI testing strategies suitable to their context to avoid falling behind. Embracing AI can democratize testing, enabling smaller or less experienced teams to achieve high-quality results, ultimately marking the end of excuses in software quality.
👉 Pročitaj original: CIO Magazine
