Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces
Created by W.Langdon from
gp-bibliography.bib Revision:1.8414
- @Misc{silva2025gradientbasedprogramrepairfixing,
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author = "Andre Silva and Gustav Thoren and Martin Monperrus",
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title = "Gradient-Based Program Repair: Fixing Bugs in
Continuous Program Spaces",
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howpublished = "ArXiv 2505.17703",
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year = "2025",
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month = "23 " # may,
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keywords = "genetic algorithms, genetic programming, genetic
improvement, APR, bugfixing, SBSE, ANN, RASP, Tracr,
mutation testing, Dyck2",
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primaryclass = "cs.PL",
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URL = "
https://arxiv.org/abs/2505.17703",
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size = "14 pages",
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abstract = "... We introduce Gradient-Based Program Repair (GBPR),
a new paradigm that reframes program repair as
continuous optimization in a differentiable numerical
program space. Our core insight is to compile symbolic
programs into differentiable numerical representations,
enabling search in the numerical program space directly
guided by program behaviour. To evaluate GBPR, we
present RaspBugs, a new benchmark of 1466 buggy
symbolic RASP programs and their respective numerical
representations. Our experiments demonstrate that GBPR
can effectively repair buggy symbolic programs by
gradient-based optimization in the numerical program
space, with convincing repair trajectories...",
- }
Genetic Programming entries for
Andre Silva
Gustav Thoren
Martin Monperrus
Citations