Summary:
- This article discusses the importance of empiricism in computer science, which involves testing hypotheses and theories through experimentation and observation.
- It argues that computer science has historically lacked a strong empirical tradition compared to other scientific fields, leading to a gap in the field's understanding of how real-world systems and algorithms behave.
- The article emphasizes the need for more rigorous empirical research in computer science to improve the reliability and applicability of the field's findings, ultimately leading to better-designed systems and algorithms.