Bridging the Gap between Causal Inference and Software Engineering @ ASE 2025
Nov 16–20, 2025
Grand Walkerhill, Seoul, South Korea
Grand Walkerhill, Seoul, South Korea
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| 4:00pm | Session 1: Introduction to Causal Inference |
| Pingchuan Ma & Shuai Wang | |
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This session provides a foundational overview of causal inference, emphasizing its importance in distinguishing causation from correlation in complex systems. Key concepts, including treatment, confounding, and causal graphs, will be introduced. The session will also cover causal discovery, double machine learning, and instrumental variables with intuitive examples. |
| 4:30pm | Session 2: Applications of Causal Inference in Software Engineering |
| Zhenlan Ji | |
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This session explores practical applications of causal inference in software engineering, particularly for AI-driven systems and distributed infrastructures. It highlights how causal graphs and estimation methods can diagnose root causes of system anomalies, improving debugging and efficiency. |
| 5:10pm | Session 3: Integrating Causal Inference with Software Engineering Practices |
| Zongjie Li | |
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This session explores the synergistic integration of causal inference and software engineering, presenting a case study on runtime verification for causal inference algorithms. It also highlights challenges and future research directions. |