Software Artifact for Nanopass Attribute Grammars

Ringo, Nathan
Kramer, Lucas
Van Wyk, Eric
2023-09-06
Thumbnail Image

Persistent link to this item

https://doi.org/10.13020/h1qa-s993
 https://hdl.handle.net/11299/256414
Statistics
View Statistics

Keywords

Collection Period

Date Completed

item.page.dateupdated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Software Artifact for Nanopass Attribute Grammars

Published Date

2023-09-06

Authors

Group

University of Minnesota, Department of Computer Science and Engineering, Minnesota Extensible Language Tools (MELT) Group

Author Contact

Van Wyk, Eric
evw@umn.edu

Type

Dataset
Programming Software Code

Abstract

This repository contains the software artifact accompanying the paper "Nanopass Attribute Grammars" included in the October 2023 ACM SIGPLAN Conference on Software Language Engineering.

Description

The files included are the source code for the prototype nanopass attribute evaluator, an example specification for the Go programming language, and instructions on how to set it up and run it.

Referenced by

Nathan Ringo, Lucas Kramer, and Eric Van Wyk. 2023. Nanopass Attribute Grammars. In Proceedings of the 16th ACM SIGPLAN International Conference on Software Language Engineering (SLE ’23), October 23–24, 2023, Cascais, Portugal. ACM, New York, NY, USA, 14 pages
https://doi.org/10.1145/3623476.3623514

Related to

item.page.isreplacedby

License

GNU Lesser General Public License v3.0
https://www.gnu.org/licenses/lgpl-3.0.en.html

Publisher

Collections

Data Repository for U of M (DRUM)
Datasets

Funding Information

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

Suggested Citation

Ringo, Nathan; Kramer, Lucas; Van Wyk, Eric. (2023). Software Artifact for Nanopass Attribute Grammars. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/h1qa-s993.

View/Download File

File View/Open
Description
Size
README.txt
Description of data
(348 B)
2023_SLE_Nanopass_Attribute_Grammars.zip
Software artifact and instructions (Windows)
(2.78 GB)
2023_SLE_Nanopass_Attribute_Grammars.tar.gz
Software artifact and instructions (UNIX)
(2.71 GB)

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.