Incremental Evaluation of Reference Attribute Grammars using Dynamic Dependency Tracking
Author
Summary, in English
Reference attribute grammars (RAGs) have proven practical for gen-
erating production-quality compilers from declarative descriptions, as demonstrated by the JastAdd system. Recent results indicate their applicability also to generating semantic services in interactive editors. For use in editors, it is necessary to update the attribution after edit operations. Earlier algorithms based on statically scheduled incremental attribute evaluation are, however, not applicable to RAGs, as they do not account for the dynamic dependencies that reference attributes give rise to. In this report, we introduce a notion of consistency for RAG attributions, along with an algorithm for maintaining consistency after edit operations, based on dynamic dependency tracking. That is, we introduce a means to do incremental evaluation of RAGs using dynamic dependency tracking.
erating production-quality compilers from declarative descriptions, as demonstrated by the JastAdd system. Recent results indicate their applicability also to generating semantic services in interactive editors. For use in editors, it is necessary to update the attribution after edit operations. Earlier algorithms based on statically scheduled incremental attribute evaluation are, however, not applicable to RAGs, as they do not account for the dynamic dependencies that reference attributes give rise to. In this report, we introduce a notion of consistency for RAG attributions, along with an algorithm for maintaining consistency after edit operations, based on dynamic dependency tracking. That is, we introduce a means to do incremental evaluation of RAGs using dynamic dependency tracking.
Department/s
Publishing year
2012
Language
English
Publication/Series
LU-CS-TR:2012-249
Full text
- Available as PDF - 344 kB
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Document type
Report
Publisher
Department of Computer Science, Lund University
Topic
- Computer Science
Status
Unpublished
Report number
98
Research group
- LUCAS
ISBN/ISSN/Other
- ISSN: 1404-1200