ICSME 2024 (series) / Doctoral Symposium Track / A Reinforcement Learning Model for Optimizing Policies within DevOps Practices
A Reinforcement Learning Model for Optimizing Policies within DevOps PracticesDoctoral Symposium
Tue 8 Oct 2024 11:00 - 11:30 at Abineau - Doctoral Symposium: AI4SE
Karen da Mata is a Ph.D. student in the Electrical and Computer Engineering Department at the University of Massachusetts—Dartmouth. She received her MS in Computer Engineering from UMassD in 2023 and her BS degree in the Electrical Engineering Department at the Federal University of Ouro Preto, Brazil, in 2018. Her research interests include developing new techniques to automate software testing during development while minimizing the impact of possible failures, as well as implementing quantitative methods to improve system performance and predict failures.
Tue 8 OctDisplayed time zone: Arizona change
Tue 8 Oct
Displayed time zone: Arizona change
10:30 - 12:00 | |||
10:30 30m | Customizing Deep Learning Models for Code-Related TasksDoctoral Symposium Doctoral Symposium Track Alessandro Giagnorio Software Institute @ Università della Svizzera italiana | ||
11:00 30m | A Reinforcement Learning Model for Optimizing Policies within DevOps PracticesDoctoral Symposium Doctoral Symposium Track Karen da Mata University of Massachusetts Dartmouth | ||
11:30 30m | Fostering Microservice Maintainability Assurance through a Comprehensive FrameworkDoctoral Symposium Doctoral Symposium Track Amr Elsayed Baylor University DOI Pre-print File Attached | ||
