Trace-Guided Inductive Synthesis of Recursive Functional Programs

We propose a novel trace-guided approach to tackle the challenges of ambiguity and generalization in synthesis of recursive functional programs from input-output examples. Our approach augments the search space of programs with recursion traces consisting of recursive subcalls of the programs. Our m...

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Vydané v:Proceedings of ACM on programming languages Ročník 7; číslo PLDI; s. 860 - 883
Hlavní autori: Yuan, Yongwei, Radhakrishna, Arjun, Samanta, Roopsha
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY, USA ACM 06.06.2023
Predmet:
Automatic programming
Functional languages
Programming by example
Recursion
Software and its engineering
Recursive Functional Programs
Program Synthesis
ISSN:2475-1421, 2475-1421
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Popis
Shrnutí:We propose a novel trace-guided approach to tackle the challenges of ambiguity and generalization in synthesis of recursive functional programs from input-output examples. Our approach augments the search space of programs with recursion traces consisting of recursive subcalls of the programs. Our method is based on a new version space algebra (VSA) for succinct representation and efficient manipulation of pairs of recursion traces and programs that are consistent with each other. We have implemented this approach in a tool called SyRup and evaluated it on benchmarks from prior work. Our evaluation demonstrates that SyRup not only requires fewer examples to achieve a certain success rate than existing synthesizers, but is also less sensitive to the quality of the examples.
ISSN:2475-1421
2475-1421
DOI:10.1145/3591255