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Massachusetts Institute of Technology

A differential approach to undefined behavior detection

Abstract

dc:description.abstract

This thesis studies undefined behavior arising in systems programming languages such as C/C++. Undefined behavior bugs lead to unpredictable and subtle systems behavior, and their effects can be further amplified by compiler optimizations. Undefined behavior bugs are present in many systems, including the Linux kernel and the Postgres database. The consequences range from incorrect functionality to missing security checks. This thesis proposes a formal and practical approach, which finds undefined behavior bugs by finding "unstable code" in terms of optimizations that leverage undefined behavior. Using this approach, we introduce a new static checker called STACK that precisely identifies undefined behavior bugs. Applying STACK to widely used systems has uncovered 161 new bugs that have been confirmed and fixed by developers.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wang, Xi, Ph. D. Massachusetts Institute of Technology
Advisor dc:contributor.advisor
  • M. Frans Kaashoek and Nickolai Zeldovich.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/93071
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/93071

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Wang, Xi, Ph. D. Massachusetts Institute of Technology. A differential approach to undefined behavior detection. Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/93071