Abstract
High-level transformation languages like Rascal include expressive features for manipulating large abstract syntax trees: first-class traversals, expressive pattern matching, backtracking and generalized iterators. We present the design and implementation of an abstract interpretation tool, Rabit, for verifying inductive type and shape properties for transformations written in such languages. We describe how to perform abstract interpretation based on operational semantics, specifically focusing on the challenges arising when analyzing the expressive traversals and pattern matching. Finally, we evaluate Rabit on a series of transformations (normalization, desugaring, refactoring, code generators, type inference, etc.) showing that we can effectively verify stated properties.
Originalsprog | Engelsk |
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Titel | Proceedings of the 17th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, {GPCE} 2018, Boston, MA, USA, November 5-6, 2018 |
Antal sider | 14 |
Forlag | Association for Computing Machinery |
Publikationsdato | 2018 |
Sider | 147-160 |
ISBN (Trykt) | 978-1-4503-6045-6 |
DOI | |
Status | Udgivet - 2018 |
Emneord
- high-level transformation languages
- abstract syntax trees
- abstract interpretation
- operational semantics
- code transformations verification