Multiple Fault Localization with Data Mining

Abstract

We propose an interactive fault localization method based on two data mining techniques, formal concept analysis and association rules. A lattice formalizes the partial ordering and the dependencies between the sets of program elements (e.g., lines) that are most likely to lead to program execution failures. The paper provides an algorithm to traverse that… (More)

Topics

8 Figures and Tables

Cite this paper

@inproceedings{Cellier2011MultipleFL, title={Multiple Fault Localization with Data Mining}, author={Peggy Cellier and Mireille Ducass{\'e} and S{\'e}bastien Ferr{\'e} and Olivier Ridoux}, booktitle={SEKE}, year={2011} }