Bottom Up Synthesis

Bottom-up synthesis is a program synthesis approach that constructs programs by combining smaller program fragments, guided by various search strategies and cost functions. Recent research focuses on improving efficiency and scalability through techniques like library learning, which incorporates reusable program structures, and novel search algorithms such as best-first search that prioritize promising program candidates. These advancements are enhancing the ability to synthesize more complex programs in diverse domains, including web automation and CAD design, leading to more efficient and automated solutions for various tasks. The resulting improvements in synthesis speed and scalability have significant implications for automated programming and design automation.