SUPERCAST SERIES:
AI-Driven Testing: Context, Agents, and the Model Context Protocol (MCP)
Join the premier event series to uncover the latest in AI in Test trends related to MCP, Agents, and AI driven automation. Speakers will present solutions for the SD Times audience to learn how to deliver value for their organizations.
May 7 | The ROI of Intelligent Quality
Aug 6 | The AI-Augmented Tester: Tools, Skills, Techniques
Nov 5 | The Strategic Test Future: Autonomous Agents and Human-AI Collaboration
Testing challenges in distributed systems
Maintaining quality for complex, legacy codebases
AI-Driven Test Automation for API, Contract Testing, and Virtualization
Deep Code Quality: Agents and Context
A unified approach for reliable Continuous Testing
Featured Class Presented by Parasoft
What if Wrong Is Right? Testing Nondeterministic Systems
Traditional automation struggles with the nondeterministic outputs of AI systems. Testers need to validate a scenario that generates a different answer with every test run—and the answers are all correct. This nondeterministic behavior makes it difficult to ensure reliability, stability, and cost-effectiveness.
Join SD Times and Parasoft for a dynamic Supercast with a live demo that tackles these challenges head-on. We’ll explore real-world scenarios—like stabilizing LLM output with service virtualization and using LLM-based validators to assess nondeterministic output —to reveal why conventional testing methods fall short and how innovative strategies can bridge the gap.
This insightful session will equip you with actionable techniques to tame the complexity of AI-infused applications. You’ll learn:
· Why AI-infused applications break traditional testing paradigms.
· How to design robust automated tests for LLM-based features.
· Strategies for end-to-end validation.
· How to test new protocols and agentic systems.
Speakers
Jenna Barron
SD Times Managing Editor
Sponsors
