Specification-guided component-based synthesis from effectful libraries
Ashish Mishra, Suresh Jagannathan
Abstract
Component-based synthesis seeks to build programs using the APIs provided by a set of libraries. Oftentimes, these APIs have effects, which make it challenging to reason about the correctness of potential synthesis candidates. This is because changes to global state made by effectful library procedures affect how they may be composed together, yielding an intractably large search space that can confound typical enumerative synthesis techniques. If the nature of these effects are exposed as part of their specification, however, deductive synthesis approaches can be used to help guide the search for components. In this paper, we present a new specificationguided synthesis procedure that uses Hoare-style pre-and post-conditions to express fine-grained effects of potential library component candidates to drive a bi-directional synthesis search strategy. The procedure alternates between a forward search process that seeks to build larger terms given an existing context but which is otherwise unaware of the actual goal, alongside a backward search mechanism that seeks terms consistent with the desired goal but which is otherwise unaware of the context from which these terms must be synthesized. To further improve efficiency and scalability, we integrate a conflict-driven learning procedure into the synthesis algorithm that provides a semantic characterization of previously encountered unsuccessful search paths that is used to prune the space of possible candidates as synthesis proceeds. We have implemented our ideas in a tool called Cobalt and demonstrate its effectiveness on a number of challenging synthesis problems defined over OCaml libraries equipped with effectful specifications.
CCS Concepts: • Software and its engineering → Software verification and validation.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext aea5be27-2869-457f-a102-4a3386b0ca47Cited by top-tier papers4
- Covering All the Bases: Type-Based Verification of Test Input GeneratorsZhe Zhou, Ashish Mishra, Benjamin Delaware, Suresh JagannathanPLDI 2023 · 7 citations
- LLM-Assisted Synthesis of High-Assurance C ProgramsPrasita Mukherjee, Minghai Lu, Benjamin DelawareASE 2025 · 1 citation
- We've Got You Covered: Type-Guided Repair of Incomplete Input GeneratorsPatrick LaFontaine, Zhe Zhou, Ashish Mishra, Suresh Jagannathan et al.OOPSLA 2025 · 1 citation
- Liquid Tree AutomataAshish Mishra, Suresh JagannathanCAV 2026
Builds on5
- Program synthesis by type-guided abstraction refinementZheng Guo, Michael James, David Justo, Jiaxiao Zhou et al.POPL 2020 · 45 citations
- Visualization by exampleChenglong Wang, Yu Feng, Rastislav Bodík, Alvin Cheung et al.POPL 2020 · 36 citations
- Cyclic program synthesisShachar Itzhaky, Hila Peleg, Nadia Polikarpova, Reuben N. S. Rowe et al.PLDI 2021 · 26 citations
- Digging for fold: synthesis-aided API discovery for HaskellMichael B. James, Zheng Guo, Ziteng Wang, Shivani Doshi et al.OOPSLA 2020 · 19 citations
- RbSyn: type- and effect-guided program synthesisSankha Narayan Guria, Jeffrey S. Foster, David Van HornPLDI 2021 · 8 citations
Related papers
- Reconciling enumerative and deductive program synthesisKangjing Huang, Xiaokang Qiu, Peiyuan Shen, Yanjun WangPLDI 2020 · 46 citations
- Counterexample-Guided Inference of Modular SpecificationsWilliam T. Hallahan, Ranjit Jhala, Ruzica PiskacOOPSLA 2025 · 1 citation
- Multi-modal program inference: a marriage of pre-trained language models and component-based synthesisKia Rahmani, Mohammad Raza, Sumit Gulwani, Vu Le et al.OOPSLA 2021 · 32 citations
- Data-driven abductive inference of library specificationsZhe Zhou, Robert Dickerson, Benjamin Delaware, Suresh JagannathanOOPSLA 2021 · 15 citations
- Equivalence by Canonicalization for Synthesis-Backed RefactoringJustin Lubin, Jeremy Ferguson, Kevin Ye, Jacob Yim et al.PLDI 2024 · 2 citations
