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Temporal logic specifications can be used to synthesize reactive systems by writing high-level descriptions of desired behavior, without the need to manually program a complete system. While synthesis from temporal logics has long been focused on hardware systems, recent work has expanded applications of synthesis to include areas of broader interest, such as mobile apps, visualization, and self-driving cars. These new application areas have the potential to bring new types of users into the synthesis community, but significant usability hurdles remain. In this work, we investigate how Temporal Stream Logic (TSL), a temporal logic specification language, can be made more usable and approachable to programmers of all skill levels. We propose a study design to evaluate the usefulness of an alternative interface for writing TSL to address the syntactic hurdle of temporal logic. We then outline areas for improvement and exploration in TSL and reactive synthesis as a whole.
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Can reactive synthesis and syntax-guided synthesis be friends?
While reactive synthesis and syntax-guided synthesis (SyGuS) have seen enormous progress in recent years, combining the two approaches has remained a challenge. In this work, we present the synthesis of reactive programs from Temporal Stream Logic modulo theories (TSL-MT), a framework that unites the two approaches to synthesize a single program. In our approach, reactive synthesis and SyGuS collaborate in the synthesis process, and generate executable code that implements both reactive and data-level properties. We present a tool, temos, that combines state-of-the-art methods in reactive synthesis and SyGuS to synthesize programs from TSL-MT specifications. We demonstrate the applicability of our approach over a set of benchmarks, and present a deep case study on synthesizing a music keyboard synthesizer.
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- Award ID(s):
- 2105208
- PAR ID:
- 10412722
- Date Published:
- Journal Name:
- PLDI 2022: Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation
- Page Range / eLocation ID:
- 229 to 243
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3519939.3523429
