An automated framework to support testing for process‐level race conditions

Abstract

Race conditions are difficult to detect because they usually occur only under specific execution interleavings. Numerous program analysis and testing techniques have been proposed to detect race conditions between threads on single applications. However, most of these techniques neglect races that occur at the process level due to complex system event interactions. This article presents a framework, SIMEXPLORER, that allows engineers to effectively test for process‐level race conditions. SIMEXPLORER first uses dynamic analysis techniques to observe system execution, identify program locations of interest, and report faults related to oracles. Next, it uses virtualization to achieve the fine‐grained controllability needed to exercise event interleavings that are likely to expose races. We evaluated the effectiveness of SIMEXPLORER on 24 real‐world applications containing both known and unknown process‐level race conditions. Our results show that SIMEXPLORER is effective at detecting these race conditions, while incurring an overhead that is acceptable given its effectiveness improvements.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 10, 2017
Source ID
10.1002/stvr.1634

Entities

People

  • Gregg Rothermel
  • Tingting Yu
  • Witty Srisa-an

Organizations

  • Air Force Office of Scientific Research
  • Army Research Office
  • Defense Advanced Research Projects Agency
  • National Science Foundation
  • University of Kentucky
  • University of Nebraska–Lincoln

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Life Cycle Cost Analysis
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).