Elisabeth Hendrickson, a consultant at Curious Duck Digital Laboratory, is an expert in systems thinking and quality engineering. She dives into how understanding interconnected problem elements can enhance software quality. The conversation emphasizes the critical need for human oversight in AI-driven coding environments. Hendrickson also discusses the importance of a culture that supports shift-left strategies and proactive quality management to balance productivity and value in the age of rapid code production.
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insights INSIGHT
Quality Engineering is End-to-End
Quality engineering is the entirety of activities to deliver value sustainably.
It includes understanding what to build, testing, CI/CD, and observability, not just downstream inspection.
insights INSIGHT
Partial Transformations Hurt Delivery
Many organizations superficially adopt agile and DevOps but remain reliant on quality inspection bottlenecks.
This incomplete transformation results in persistent delays and quality challenges as speed increases.
volunteer_activism ADVICE
Fix Bottlenecks Symptom-By-Symptom
Avoid fixing QA bottlenecks by simply hiring more testers; deeper issues cause recurring blockages.
Address problems symptom-by-symptom by understanding what and why you test, embedding early automated checks.
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This is the Engineering Culture Podcast, from the people behind InfoQ.com and the QCon conferences.
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Elisabeth Hendrickson about using systems thinking to understanding relationships between problem elements rather than focusing on individual parts, and how quality engineering practices become even more critical in the age of AI where tools can accelerate code production but humans need to remain in charge of verification and validation.
Read a transcript of this interview: http://bit.ly/3JfJhIc
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