Data from: Extended Comprehensive Study of Association Measures for Fault Localization

<p>This record contains the underlying research data for the publication "Extended Comprehensive Study of Association Measures for Fault Localization" and the full-text is available from: <a href="ink.library.smu.edu.sg/sis_research/1818">https://ink.library.smu.edu.sg/sis_research/1818</a></p><p>Spectrum-based fault localization is a promising approach to automatically locate root causes of failures quickly. Two well-known spectrum-based fault localization techniques, Tarantula and Ochiai, measure how likely a program element is a root cause of failures based on profiles of correct and failed program executions.

These techniques are conceptually similar to <em>association measures</em> that have been proposed in statistics, data mining, and have been utilized to quantify the relationship strength between two variables of interest (e.g., the use of a medicine and the cure rate of a disease). In this paper, we view fault localization as a measurement of the relationship strength between the execution of program elements and program failures.