Garlan David

Papers

Total Citations

H-Index

About

David Garlan is a pioneering figure in software engineering, best known for his foundational contributions to software architecture, self-adaptive systems, and human-in-the-loop computing. His research has fundamentally shaped how complex software systems are designed, analyzed, and managed, particularly in dynamic environments. Among his most influential works is the 2021 paper "Hey! Preparing Humans to do Tasks in Self-adaptive Systems," which addresses the critical challenge of integrating human operators into autonomous systems. This work highlights how insufficient preparation—such as a lack of task clarity or training—can undermine system effectiveness, and proposes frameworks to better equip humans to supervise decisions or perform physical adaptations that automation cannot handle. With over 17 citations, this paper reflects Garlan's broader impact: his research has garnered tens of thousands of citations globally, cementing his status as a leader in the field. A recipient of multiple ACM SIGSOFT Distinguished Paper Awards and an ACM Fellow, Garlan continues to influence both academic research and industrial practice, making his work essential reading for students and researchers exploring the intersection of human factors and self-adaptive systems.