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Lecture Notes in Computer Science
Many example-guided program synthesis techniques use abstractions to prune the search space. While abstraction-based synthesis has proven to be very powerful, a domain expert needs to provide a suitable abstract domain, together with the abstract transformers of each DSL construct. However, coming up with useful abstractions can be non-trivial, as it requires both domain expertise and knowledge about the synthesizer. In this paper, we propose a new technique for learning abstractions that aredoi:10.1007/978-3-319-96145-3_22 fatcat:diejb7qrlbcodoywj2yrxymqyy