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AI in software testing
Artificial intelligence is everywhere these days! We hear about it all day long, in casual conversation, in the media, or at work. In the world of software testing, it's gradually becoming essential, not to replace QA teams, but to automate repetitive tasks and improve anomaly detection. Its main goal is to maintain a high level of reliability without lengthening development cycles. AI in software testing is a real breakthrough. How AI helps QA engineers Artificial intellige
La Minute QA
May 152 min read
The different testing approaches and their value
Main Testing Approaches In a software project, not everything is tested the same way. Depending on the goal, the stage of the project, and the level of risk, you may choose a manual, automated, exploratory, static, or risk-based approach. Static testing makes it possible to detect defects without executing the code, for example through reviews or code analysis, while dynamic testing relies on running the software. The idea is not to choose just one method, but to combine the
La Minute QA
Apr 223 min read
ISTQB Foundation 4.0: an evolution closer to modern practices.
In a context where product teams are shipping faster and faster, QA no longer has the luxury of being just a simple “safety net” at the end of the chain. ISTQB has clearly understood this and has evolved its Foundation syllabus towards a 4.0 version that is much closer to modern practices: Agile, DevOps, automation, continuous testing, and stronger collaboration with the rest of the team. Beyond a simple content update, this new version clarifies the tester’s role and aligns
wesdu87
Apr 185 min read
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