Synthesizing data-structure manipulations from storyboards
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Solar-Lezama_Synthesizing data-structure.pdf
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1.81 MB
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Author(s)
Singh, Rishabh
Solar-Lezama, Armando
Date Issued
September 2011
Journal
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering (ESEC/FSE '11)
Publisher
Association for Computing Machinery (ACM)
Citation
Rishabh Singh and Armando Solar-Lezama. 2011. Synthesizing data structure manipulations from storyboards. In Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering (ESEC/FSE '11). ACM, New York, NY, USA, 289-299.
Version
Author's final manuscript
Abstract
We present the Storyboard Programming framework, a new synthesis system designed to help programmers write imperative low-level data-structure manipulations. The goal of this system is to bridge the gap between the "boxes-and-arrows" diagrams that programmers often use to think about data-structure manipulation algorithms and the low-level imperative code that implements them. The system takes as input a set of partial input-output examples, as well as a description of the high-level structure of the desired solution. From this information, it is able to synthesize low-level imperative implementations in a matter of minutes.
The framework is based on a new approach for combining constraint-based synthesis and abstract-interpretation-based shape analysis. The approach works by encoding both the synthesis and the abstract interpretation problem as a constraint satisfaction problem whose solution defines the desired low-level implementation. We have used the framework to synthesize several data-structure manipulations involving linked lists and binary search trees, as well as an insertion operation into an And Inverter Graph.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1145/2025113.2025153
