BugFix: A learning-based tool to assist developers in fixing bugs

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Evaluating Large Language Models Trained on Code (2021, methodology): “Early works used static or dynamic code analysis (Agrawal et al., 1995; Korel & Rilling, 1997), learned association rules (Jeffrey et al., 2009), and genetic programming (Goues et al., 2012) to debug faulty code.”
A systematic study of automated program repair: Fixing 55 out of 105 bugs for $8 each (2012, background): “BugFix mines user input and common bug-fix scenarios tracked over a project’s lifecycle to suggest bug repairs [32].”
SemFix: Program repair via semantic analysis (2013, methodology): “Learning from history repair data, BugFix [25] suggests bugfix that has been used in a similar debugging situation.”
The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs (2015, background): “, AE [75], AFix [44], ARC [14], Arcuri and Yao [9], ARMOR [20], and AutoFix-E [73], [61], Axis [54], BugFix [41], CASC [78], ClearView [63],”
A Survey on Software Fault Localization (2016, methodology): “BugFix A machine learning-based tool for program debugging via author [174]”