Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Efficient Bottom-Up Synthesis for Programs with Local Variables

ACM SIGPLAN via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a groundbreaking synthesis algorithm presented at POPL 2024 that efficiently searches programs with local variables. Dive into the concept of lifted interpretation, which enables simultaneous evaluation of all programs from a grammar, allowing for effective reduction of the search space for programs with local variables. Learn how this innovative approach overcomes limitations of prior bottom-up synthesis algorithms, particularly in evaluating programs with free local variables. Discover the application of these ideas in web automation through Arborist, a tool that outperforms state-of-the-art techniques like WebRobot and Helena in automating complex tasks. Gain insights into the algorithm's potential to significantly expand the range of automatable tasks in web environments.

Syllabus

[POPL'24] Efficient Bottom-Up Synthesis for Programs with Local Variables

Taught by

ACM SIGPLAN

Reviews

Start your review of Efficient Bottom-Up Synthesis for Programs with Local Variables

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.