Automated Support for Improving Code Understandability: Tools from 2030
Dr. Nicole Novielli is an Associate Professor at the University of Bari. Her research interests lie at the intersection of software engineering and affective computing with a specific focus on emotion mining from software repositories, natural language processing of developers’ communication traces, and biometric recognition of developers’ emotions.
Prem Devanbu holds a B.Tech from IIT Madras, and a Ph.D from Rutgers University. After nearly 20 years at Bell Labs, he joined UC Davis, where he is now a distinguished professor of computer science. He works in the area of Empirical Software Engineering, specifically on the use of "big data" available in public software repositories to help software developers and improve software processes. He is a winner of the ACM SIGSOFT Outstanding Research Award (2021), the Alexander von Humboldt Research Award (2022), and several best-paper and most-influential paper awards. He is a Fellow of the ACM.
Kevin Moran is currently an Assistant Professor at George Mason University where he directs the SAGE research group. He graduated with a B.A. in Physics from the College of the Holy Cross in 2013 and an M.S. degree from William & Mary in August of 2015. He received a Ph.D. degree from William & Mary in August 2018. His main research interest involves facilitating the processes of software engineering, maintenance, and evolution by building developer tools enhanced by machine learning techniques. He has published over 30 papers at various software engineering and security conferences and his research has been recognized with ACM SIGSOFT distinguished paper awards at ESEC/FSE 2019 and ICSE 2020, and a Best Paper Award at CODASPY’19. He is a member of the ACM and IEEE. More information is available at http://www.kpmoran.com.