14 citations · 26 across the 7 of their papers we have counts for
7 papers
Explainable Automated Debugging via Large Language Model-driven Scientific Debugging
Sungmin Kang, Bei Chen, Shin Yoo +1
Automated debugging techniques have the potential to reduce developer effort in debugging, and have matured enough to be adopted by industry. However, one critical issue with exist…
GLAD: Neural Predicate Synthesis to Repair Omission Faults
Sungmin Kang, Shin Yoo
Existing template and learning-based APR tools have successfully found patches for many benchmark faults. However, our analysis of existing results shows that omission faults pose…
Searching for Multi-Fault Programs in Defects4J
Gabin An, Juyeon Yoon, Shin Yoo
Defects4J has enabled numerous software testing and debugging research work since its introduction. A large part of its contribution, and the resulting popularity, lies in the clea…
Improving Test Distance for Failure Clustering with Hypergraph Modelling
Gabin An, Juyeon Yoon, Joyce Jiyoung Whang +1
Automated debugging techniques, such as Fault Localisation (FL) or Automated Program Repair (APR), are typically designed under the Single Fault Assumption (SFA). However, in pract…
Causal Program Dependence Analysis
Seongmin Lee, Dave Binkley, Robert Feldt +2
We introduce Causal Program Dependence Analysis (CPDA), a dynamic dependence analysis that applies causal inference to model the strength of program dependence relations in a conti…
Genetic Improvement @ ICSE 2020
William B. Langdon, Westley Weimer, Justyna Petke +13
Following Prof. Mark Harman of Facebook's keynote and formal presentations (which are recorded in the proceedings) there was a wide ranging discussion at the eighth international G…