Empirical evaluation of augmenting statistical fault localization with execution features extracted by EFDD and mapped via random-forest importances on Tests4Py subjects.
Threats to the validity and value of empirical assessments of the accuracy of coverage-based fault locators,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
How do Execution Features Improve Statistical Fault Localization? An Empirical Study
Empirical evaluation of augmenting statistical fault localization with execution features extracted by EFDD and mapped via random-forest importances on Tests4Py subjects.