PNSQC 2026 Quality Jam
2026-01-22
-- online --
[PNSQC 2013, PNSQC 2014, PNSQC 2020, PNSQC 2021, PNSQC 2022, PNSQC 2024, PNSQC 2026 Quality Jam]
who it's for
qa engineers, ai engineers, senior engineers, test automation engineers, product managers, security engineers, hardware engineers, devops engineers
topics
testing adaptive intelligence; red teaming for models; continuous observation and drift; Model Context Protocol integration; AI-driven API test generation; Playwright runnable automation; model-based test specifications; per-call authorization testing; VCD to Apache Arrow pipeline; Rust for formally secure hardware
| title | author | length |
|---|---|---|
| Testing the Future: From Testing Code to Testing Intelligence | Premi Vinayagam | 09m |
QA shifts from checking deterministic X→Y correctness to evaluating adaptive intelligence across five concrete dimensions: accuracy as mostly correct… | ||
| How Product Management Supports Quality | Justin Wolf | 12m |
Argues that disciplined product management — clear documented requirements, intentional prioritization, and aligning effort with value — directly reduces… | ||
| Data-Driven API Test Case Generation Using AI and Model Context Protocol | Joseph Petsche | 10m |
Model Context Protocol standardizes giving LLMs live data and actions, claiming to accelerate API and UI test generation by connecting repos, CI results… | ||
| Test Plans Made Easy: Saying a Lot By Saying Very Little | Wayne Roseberry | 09m |
Claims that dozens or hundreds of test cases compress into under a hundred words by modeling instead of long step lists, using flowcharts or pseudo code to… | ||
| Zero Trust with Users | Yongtian Zhang | 13m |
Penetration testing finds that authenticated sessions frequently become attack vectors: requests require per-call authorization checks, not just a valid login… | ||
| Formally Secure Hardware with Rust | Calvin Deutschbein | 09m |
Automated specification mining converts hardware VCD value change dumps into cloud-ready Apache Arrow dataframes with native nullability, avoiding sentinel… | ||
| Lessons Learned in AI Engineering | Mitch White | 09m |
AI engineering becomes a distinct role as LLMs dominate software and testing, with concrete QA problems: models favor popular stacks so AI-generated code often… | ||
| Software Quality by Example as a Senior Engineer | Mark Kleinhaus | 09m |
Claims that senior engineers must keep leading on architecture, testing, and ownership while using agents to scale practical workflows. Describes year‑old… | ||
| nothing matches | ||