Software reliability practice continues to evolve from a early focus on the modeling of software test failures for reliability estimation to the modeling of pre-test activities and software attributes for reliability prediction.
The speaker believes the next major evolutionary step in software reliability research and practice will come with the application of causal learning.
Causal learning has become a practical and exciting field rooted in matching methods employed long before Ronald Fisher created Designed Experimental methods in the 1930s and 1940s.
This webinar will share the recently matured landscape of causal learning consisting of causal discovery and causal estimation.
A brief description of causal methods, algorithms and modern publications will be shared along with recommendations on how reliability engineers might pursue learning and adopting causal learning.

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QMD presents: 2023 Fall Conference on “Improving Measurement Confidence and Reducing Risk”
Measurement Quality Division’s Fall Conference – Improving Measurement Confidence and Reducing Risk Starts: Nov 11, 2023 09:00 AM (ET)Ends: Nov 13, 2023 09:00 AM (ET)Associated with Denver Section Sponsored by the ASQ Measurement Quality Division and Akron-Canton SectionNetwork with your peers, practitioners, and subject matter experts! Conference Topics (Oct 12 – 13)• Developing Measurement Assurance Programs• Optimizing Your