A learning-to-rank based fault localization approach using likely invariants
Author:
Affiliation:
1. Singapore Management University, Singapore
2. Carnegie Mellon University, USA
3. Humboldt University of Berlin, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2931037.2931049
Reference62 articles.
1. Automatic software fault localization using generic program invariants
2. Spectrum-Based Multiple Fault Localization
3. A practical evaluation of spectrum-based fault localization
4. Coping with an open bug repository
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