Generating LR syntax error messages from examples

Author:

Jeffery Clinton L.1

Affiliation:

1. New Mexico State University, Las Cruces, NM

Abstract

LR parser generators are powerful and well-understood, but the parsers they generate are not suited to provide good error messages. Many compilers incur extensive modifications to the source grammar to produce useful syntax error messages. Interpreting the parse state (and input token) at the time of error is a nonintrusive alternative that does not entangle the error recovery mechanism in error message production. Unfortunately, every change to the grammar may significantly alter the mapping from parse states to diagnostic messages, creating a maintenance problem. Merr is a tool that allows a compiler writer to associate diagnostic messages with syntax errors by example, avoiding the need to add error productions to the grammar or interpret integer parse states. From a specification of errors and messages, Merr runs the compiler on each example error to obtain the relevant parse state and input token, and generates a yyerror() function that maps parse states and input tokens to diagnostic messages. Merr enables useful syntax error messages in LR-based compilers in a manner that is robust in the presence of grammar changes.

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Reference16 articles.

1. Error messages

2. Design and implementation of a diagnostic compiler for PL/I

3. GNU-Project. 2001. GNU C Compiler Source Distribution Version 3.0. Available online at www.gnu.org. Source files c-parse.y and java/parse.y were used in this paper. GNU-Project. 2001. GNU C Compiler Source Distribution Version 3.0. Available online at www.gnu.org. Source files c-parse.y and java/parse.y were used in this paper.

4. Practical LR error recovery

5. Eli: a complete, flexible compiler construction system

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparison of Leading Language Parsers – ANTLR, JavaCC, SableCC, Tree-sitter, Yacc, Bison;2023 13th International Conference on Software Technology and Engineering (ICSTE);2023-10-27

2. OrdinalFix: Fixing Compilation Errors via Shortest-Path CFL Reachability;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

3. Techniques for Enhancing Compiler Error Messages;Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 2;2022-08-07

4. Faster reachability analysis for LR(1) parsers;Proceedings of the 14th ACM SIGPLAN International Conference on Software Language Engineering;2021-10-17

5. CoStar: a verified ALL(*) parser;Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation;2021-06-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3