Jose Campos — accepted AI-conference papers

2023

Augmenting Automated Spectrum Based Fault Localization for Multiple Faults

Prantik Chatterjee, Jose Campos, Rui Abreu, Subhajit Roy

IJCAI 2023poster

Spectrum-based Fault Localization (SBFL) uses the coverage of test cases and their outcome (pass/fail) to predict the "suspiciousness'' of program components, e.g., lines of code. SBFL is, perhaps, the most successful fault localization technique due to its simplicity and scalability. However, SBFL…

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2020

Diagnosing Software Faults Using Multiverse Analysis

Prantik Chatterjee, Abhijit Chatterjee, Jose Campos, Rui Abreu, Subhajit Roy

IJCAI 2020poster

Spectrum-based Fault Localization (SFL) approaches aim to efficiently localize faulty components from examining program behavior. This is done by collecting the execution patterns of various combinations of components and the corresponding outcomes into a spectrum. Efficient fault localization depe…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗