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AI highlights limits in testing non-deterministic Java systems

By PulseAugur Editorial · [1 sources] ·

AI has revealed limitations in testing non-deterministic systems like those integrating Large Language Models (LLMs). At the CH Open Workshop Days, experts demonstrated how to combine resilience engineering with probabilistic testing methods. They showcased open-source projects, PUnit and Tiberius, to build and verify the resilience of Java applications. AI

IMPACT Highlights challenges in testing AI-integrated systems, suggesting new approaches for software resilience.

RANK_REASON The item discusses a technical workshop focused on software engineering challenges related to AI integration, rather than a core AI release or significant industry event. [lever_c_demoted from research: ic=1 ai=0.7]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI highlights limits in testing non-deterministic Java systems

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The item discusses a technical workshop focused on software engineering challenges related to AI integration, rather than a core AI release or significant industry event. [lever_c_demoted from rese…
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    AI didn't break testing. It exposed its limits. How do you test Java applications that integrate LLMs or other non-deterministic systems? At the CH Open Worksho

    AI didn't break testing. It exposed its limits. How do you test Java applications that integrate LLMs or other non-deterministic systems? At the CH Open Workshop Days, @ irynadohndorf and Mike Mannion combine resilience engineering with probabilistic testing using their open-sour…

    LINKS eventfrog.ch/…/what-doesn-t-kill-your-jvm… eventfrog.ch/…/error404.html

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