Reasoning Beyond Prediction: From Data-Driven to Causal Software Engineering

1. 1Apply causal reasoning to software engineering problems to identify root causes
2. 2Build causal models to analyze complex system interactions
3. 3Configure experiments to test causal hypotheses
4. 4Run simulations to evaluate system behavior under different scenarios
5. 5Test and refine causal models based on experimental results

Software engineers, architects, and technical leads can benefit from this approach to improve system design, development, and quality assurance, and to meet the increasing demands of complex software systems

💡 Causal reasoning can help software engineers identify root causes of problems and improve system design, development, and quality assurance

💡 Causal reasoning in software engineering: move beyond data-driven approaches to improve system quality #softwareengineering #causality