Objective
Software synthesis aims to automate the creation of software by generating parts of software from a higher-level description. Until recently it was believed to be impossible to practically synthesize software beyond very small fragments. However, synthesis based on learning from existing large code-bases (“Big Code”) is making synthesis into a practical reality . The purpose of this PoC is to develop a platform that would lead to commercialization of our technology to improve programming productivity and code quality. We target two closely related applications: (1) Providing automatic assistance in programming tasks by learning from existing code, and (2) Providing on-line assessment of code quality as it is being developed using learned models. These applications have the potential to dramatically reduce time-to-market of new software, and improve its quality and security.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Funding Scheme
ERC-POC - Proof of Concept GrantHost institution
32000 Haifa
Israel