Back to results

Massachusetts Institute of Technology

Automatically identifying critical behaviors in programs

Abstract

dc:description.abstract

The large size of modern software systems has led to an increase in the complexity of the interaction between a system's code, its input, and its output. I propose the following classifications for the regions of a system's input: * Critical control: data that influences the internal operation and output of the system. * Critical payload: data that heavily contributes to the output of the program but does not substantially influence the internal operation of the program. * Benign control: data that influences the internal operation of the system, but does not contribute to the output of the system. * Benign payload: data that neither contributes to the output nor substantially influences the internal operation of the program. In this thesis, I present Chaos, a system designed to automatically infer these classifications for a program's inputs and code. Chaos monitors the execution trace and dynamic taint trace of an application over a suite of inputs to determine how regions of the programs' code and input influence its behavior and output. This thesis demonstrates the accuracy of Chaos's classifications for a set of imaging applications and their support libraries. These automatically inferred classifications are relevant to a variety of software engineering tasks, including program understanding, maintenance, debugging, testing, and defect correction triage.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2009

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Carbin, Michael (Michael James)
Advisor dc:contributor.advisor
  • Martin C. Rinard.

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/1721.1/55143
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/55143

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

Carbin, Michael (Michael James). Automatically identifying critical behaviors in programs. Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/55143