Error propagation analysis for file systems

Author:

Rubio-González Cindy1,Gunawi Haryadi S.1,Liblit Ben1,Arpaci-Dusseau Remzi H.1,Arpaci-Dusseau Andrea C.1

Affiliation:

1. University of Wisconsin-Madison, Madison, WI, USA

Abstract

Unchecked errors are especially pernicious in operating system file management code. Transient or permanent hardware failures are inevitable, and error-management bugs at the file system layer can cause silent, unrecoverable data corruption. We propose an interprocedural static analysis that tracks errors as they propagate through file system code. Our implementation detects overwritten, out-of-scope, and unsaved unchecked errors. Analysis of four widely-used Linux file system implementations (CIFS, ext3, IBM JFS and ReiserFS), a relatively new file system implementation (ext4), and shared virtual file system (VFS) code uncovers 312 error propagation bugs. Our flow- and context-sensitive approach produces more precise results than related techniques while providing better diagnostic information, including possible execution paths that demonstrate each bug found.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

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. Multimodal machine learning for predicting heat transfer characteristics in micro-pin fin heat sinks;Case Studies in Thermal Engineering;2024-05

2. PerSeVerE: persistency semantics for verification under ext4;Proceedings of the ACM on Programming Languages;2021-01-04

3. Detecting Kernel Memory Leaks in Specialized Modules with Ownership Reasoning;Proceedings 2021 Network and Distributed System Security Symposium;2021

4. Exaggerated Error Handling Hurts! An In-Depth Study and Context-Aware Detection;Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security;2020-10-30

5. What are the Actual Flaws in Important Smart Contracts (And How Can We Find Them)?;Financial Cryptography and Data Security;2020

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