A systematic mapping study of 248 papers introduces a taxonomy of synergistic effects, inter-analysis workflows, and mapping functions to catalog patterns in combined program analysis techniques.
Improving the effectiveness of spectra-based fault localization using specifications,
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Empirical evaluation of augmenting statistical fault localization with execution features extracted by EFDD and mapped via random-forest importances on Tests4Py subjects.
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Combined Program Analysis Techniques: A Systematic Mapping Study
A systematic mapping study of 248 papers introduces a taxonomy of synergistic effects, inter-analysis workflows, and mapping functions to catalog patterns in combined program analysis techniques.
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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.