Efficient algorithms for bidirectional debugging

Author:

Boothe Bob1

Affiliation:

1. Computer Science Dept., University of Southern Maine, Portland, ME

Abstract

This paper discusses our research into algorithms for creating an efficient bidirectional debugger in which all traditional forward movement commands can be performed with equal ease in the reverse direction. We expect that adding these backwards movement capabilities to a debugger will greatly increase its efficacy as a programming tool. The efficiency of our methods arises from our use of event counters that are embedded into the program being debugged. These counters are used to precisely identify the desired target event on the fly as the target program executes. This is in contrast to traditional debuggers that may trap back to the debugger many times for some movements. For reverse movements we re-execute the program (possibly using two passes) to identify and stop at the desired earlier point. Our counter based techniques are essential for these reverse movements because they allow us to efficiently execute through the millions of events encountered during re-execution. Two other important components of this debugger are its I/O logging and checkpointing. We log and later replay the results of system calls to ensure deterministic re-execution, and we use checkpointing to bound the amount of re-execution used for reverse movements. Short movements generally appear instantaneous, and the time for longer movements is usually bounded within a small constant factor of the temporal distance moved back.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 14 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. Multiverse Notebook: Shifting Data Scientists to Time Travelers;Proceedings of the ACM on Programming Languages;2024-04-29

2. Practical multiverse debugging through user-defined reductions;Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems;2022-10-23

3. Static versus dynamic reversibility in CCS;Acta Informatica;2019-11-07

4. A fork() in the road;Proceedings of the Workshop on Hot Topics in Operating Systems;2019-05-13

5. Omniscient debugging for executable DSLs;Journal of Systems and Software;2018-03

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