articleSep 1, 2007GREEN OA

On the Accuracy of Spectrum-based Fault Localization

RARui AbreuPZPeter ZoeteweijAJArjan J. C. van Gemund

Delft University of Technology

Indexed incrossref

Abstract

Spectrum-based fault localization shortens the test- diagnose-repair cycle by reducing the debugging effort. As a light-weight automated diagnosis technique it can easily be integrated with existing testing schemes. However, as no model of the system is taken into account, its diagnostic accuracy is inherently limited. Using the Siemens Set benchmark, we investigate this diagnostic accuracy as a function of several parameters (such as quality and quantity of the program spectra collected during the execution of the system), some of which directly relate to test design. Our results indicate that the superior performance of a particular similarity coefficient, used to analyze the program spectra, is largely…

Citation impact

724
total citations
FWCI
25.89
Percentile
100%
References
30
Citations per year

Authors

3

Topics & keywords

Keywords
  • Debugging
  • Benchmark (surveying)
  • Computer science
  • Similarity (geometry)
  • Fault (geology)
  • Reliability engineering
  • Set (abstract data type)
  • Code (set theory)
No related works found for this paper.