Context-Driven Testing: What It Is and Why It Matters Now
Context-driven testing emphasizes that there is no universal best practice for quality assurance. The effectiveness of testing approaches is highly dependent on the specific context in which they are applied. This methodology is particularly relevant today as AI tools create a misleading sense of coverage in testing processes.
- ▪Context-driven testing rejects the idea of a one-size-fits-all approach to QA.
- ▪The value of testing methods varies significantly between different environments, such as startups and regulated banks.
- ▪AI-generated test cases can lead to a false sense of security if not aligned with actual risks.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3928168) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Rebeca Posted on May 22 Context-Driven Testing: What It Is and Why It Matters Now #qa #softwarequalityassurance #ai #testing Context-driven testing rejects the notion that there's a universal "best practice" for QA. Instead, it holds that the value of any testing approach depends entirely on the context you're operating in. What works at a regulated bank with 50 QA engineers is actively harmful at a startup with one contractor and no formal QA process.
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