Publications/david.06.iccp

Authors

Valentin David, Akim Demaille, Olivier Gournet

Where

Proceedings of the IEEE 2nd International Conference on Intelligent Computer Communication and Processing (ICCP'06)

Place

Technical University of Cluj-Napoca, Romania

Type

inproceedings

Date

2006-07-12

Abstract

To face the challenges to tomorrow's software engineering tools, powerful language-generic program-transformation components are needed. We propose the use of attribute grammars (AGs) to generate language specific disambiguation filters. In this paper, a complete implementation of a language-independent AGs system is presented. As a full scale experiment, we present an implementation of a flexible C front-end. Its specifications are concise, modular, and the result is efficient. On top of it, transformations such as software renovation, code metrics, domain specific language embedding can be implemented.

Documents

• Paper

• Slides

Bibtex (lrde.bib)

@InProceedings{	  david.06.iccp,
  author	= {Valentin David and Akim Demaille and Olivier Gournet},
  title		= {Attribute Grammars for Modular Disambiguation},
  booktitle	= {Proceedings of the {IEEE} 2nd International Conference on
		  Intelligent Computer Communication and Processing
		  ({ICCP'06)}},
  year		= 2006,
  address	= {Technical University of Cluj-Napoca, Romania},
  month		= sep,
  abstract	= {To face the challenges to tomorrow's software engineering
		  tools, powerful language-generic program-transformation
		  components are needed. We propose the use of attribute
		  grammars (AGs) to generate language specific disambiguation
		  filters. In this paper, a complete implementation of a
		  language-independent AGs system is presented. As a full
		  scale experiment, we present an implementation of a
		  flexible C front-end. Its specifications are concise,
		  modular, and the result is efficient. On top of it,
		  transformations such as software renovation, code metrics,
		  domain specific language embedding can be implemented.},
  project	= {Transformers}
}