A Concurrent Approach to String Transformation Synthesis

Program synthesis aims at the automatic generation of programs based on given specifications. Despite significant progress, the inherent complexity of synthesis tasks and the interplay among intention, invention and adaptation limit its scope. A promising yet challenging avenue is the integration of...

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Vydané v:Proceedings of ACM on programming languages Ročník 9; číslo PLDI; s. 2131 - 2155
Hlavní autori: Ding, Yuantian, Qiu, Xiaokang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY, USA ACM 10.06.2025
Predmet:
Automated reasoning
Automatic programming
Computing methodologies
Concurrent algorithms
Formal methods
Software and its engineering
Theory of computation
Enumeration
Syntax-guided synthesis
Concurrency
String transformations
Deduction
ISSN:2475-1421, 2475-1421
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Shrnutí:Program synthesis aims at the automatic generation of programs based on given specifications. Despite significant progress, the inherent complexity of synthesis tasks and the interplay among intention, invention and adaptation limit its scope. A promising yet challenging avenue is the integration of concurrency to enhance synthesis algorithms. While some efforts have applied basic concurrency by parallelizing search spaces, more intricate synthesis scenarios involving interdependent subproblems remain unexplored. In this paper, we focus on string transformation as the target domain and introduce the first concurrent synthesis algorithm that enables asynchronous coordination between deductive and enumerative processes, featuring an asynchronous deducer for dynamic task decomposition, a versatile enumerator for resolving enumeration requests, and an accumulative case splitter for if-then-else condition/branch search and assembling. Our implementation, Synthphonia exhibits substantial performance improvements over state-of-the-art synthesizers, successfully solving 116 challenging string transformation tasks for the first time.
ISSN:2475-1421
2475-1421
DOI:10.1145/3729336