Comparison checking

Author:

Jaramillo Clara1,Gupta Rajiv1,Soffa Mary Lou1

Affiliation:

1. Univ. of Pittsburgh, Pittsburgh, PA

Abstract

We present a novel approach to avoid the debugging of optimized code through comparison checking. In the technique presented, both the unoptimized and optimized versions of an application program are executed, and computed values are compared to ensure the behaviors of the two versions are the same under the given input. If the values are different, the comparison checker displays where in the application program the differences occurred and what optimizations were involved. The user can utilize this information and a conventional debugger to determine if an error is in the unoptimized code. If the error is in the optimized code, the user can turn off those offending optimizations and leave the other optimizations in place. We implemented our comparison checking scheme, which executes the unoptimized and optimized versions of C programs, and ran experiments that demonstrate the approach is effective and practical.

Publisher

Association for Computing Machinery (ACM)

Cited by 10 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. Automatic Generation of Debug Headers through BlackBox Equivalence Checking;2022 IEEE/ACM International Symposium on Code Generation and Optimization (CGO);2022-04-02

2. Who’s debugging the debuggers? exposing debug information bugs in optimized binaries;Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems;2021-04-17

3. Debug information validation for optimized code;Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation;2020-06-06

4. An automated approach to reducing test suites for testing retargeted C compilers for embedded systems;Journal of Systems and Software;2011-12

5. Whole Execution Traces and Their Use in Debugging;The Compiler Design Handbook;2007-12-07

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