~/talks

Stephen Magill

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who talks about the same things

titleconferencedate
The New Era of Software LiabilityDevOps Enterprise Summit Amsterdam 20232023-05-15
Automakers’ ignition-switch defect triggers 30 million recalls, $900M in fines, $600M+ in settlements as an analogy for software; regulators now push the same…
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ChatGPT IgnitesDevOps Enterprise Summit Amsterdam 20232023-05-15
Reported field results show 5x productivity gains at a company using ChatGPT across code generation, support and ideation; Sonatype researchers trace live…
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It’s Not Open Source, It’s You. Where Open Source Risk Comes FromDevOps Enterprise Summit 20222022-10-18
Sonatype uses Maven Central telemetry to show concrete failures and remedies: 35–38% of log4j downloads remain vulnerable even after a spike to 60–68% updated…
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What does log4j teach us about the software supply chain?DevOps Enterprise Summit Virtual - Europe 20222022-05-10
Claims that Log4j acts as a real-world stress test of the software supply chain, validated by Sonatype's analysis of Maven Central download data. Uses…
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VendorDome: Can You Accelerate Delivery Without Compromising Security?DevOps Enterprise Summit Virtual - Europe 20222022-05-10
CloudBees and Sonatype show that teams speed releases while keeping security by combining progressive delivery with runtime feature flags and supply‑chain…
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Exemplars, Laggards, and Hoarders: A Data-driven Look at Open Source Software Supply ChainsDevOps Enterprise Summit London 20192019-06-25
A year‑long study analyzes 36,000 Java projects, 3.7 million releases, 86,000 applications and surveys (6,200+ OSS contributors, 652 and 5,500 commercial devs)…
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54,000 Tales - A Data-driven Discussion of Exemplar Development and DevSecOps PracticesDevOps Enterprise Summit London 20192019-06-25
Analysis of 54,000 development teams and projects plus a 6,000-person survey shows ecosystems where apps are 85–95% open source, organizations consume ~300,000…
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Disrupting QA – Emerging Trends in Code Quality AutomationGOTO Chicago 20192019-04-29
Recent industry work shows practical, scalable static analysis: PMD and Error‑Prone catch syntax and type patterns, Infer uses compositional interprocedural…
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Code + AI: Will Robots Take Our Coding Jobs? ML Applied to ProgrammingGOTO Chicago 20192019-04-29
Neural nets learn vector embeddings of code using AST paths and token contexts to predict method names, suggest variable names, and power code completion…
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