G. Costagliola, V. Deufemia, F. Ferrucci, C. Gravino
{"title":"On the pLR parsability of visual languages","authors":"G. Costagliola, V. Deufemia, F. Ferrucci, C. Gravino","doi":"10.1109/HCC.2001.995234","DOIUrl":null,"url":null,"abstract":"The widespread use of visual languages has motivated the need for grammar-based tools to support designers in the definition and implementation of graphical environments. The effective use of such systems requires efficient parsing techniques. The VLCC system makes use of a suitable LR-like methodology that allows us to efficiently parse visual sentences. However there exist particular grammars which are non pLR parsable because they can produce run-time conflicts during the parsing of some sentences. In this paper we will introduce an algorithm that statically verifies the pLR parsability of a positional grammar by detecting whether or not it would produce run-time conflicts.","PeriodicalId":438014,"journal":{"name":"Proceedings IEEE Symposia on Human-Centric Computing Languages and Environments (Cat. No.01TH8587)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Symposia on Human-Centric Computing Languages and Environments (Cat. No.01TH8587)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HCC.2001.995234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
The widespread use of visual languages has motivated the need for grammar-based tools to support designers in the definition and implementation of graphical environments. The effective use of such systems requires efficient parsing techniques. The VLCC system makes use of a suitable LR-like methodology that allows us to efficiently parse visual sentences. However there exist particular grammars which are non pLR parsable because they can produce run-time conflicts during the parsing of some sentences. In this paper we will introduce an algorithm that statically verifies the pLR parsability of a positional grammar by detecting whether or not it would produce run-time conflicts.