Automatically generating patch in binary programs using attribute-based taint analysis
ICICS'10 Proceedings of the 12th international conference on Information and communications security
Evolutionary repair of faulty software
Applied Soft Computing
Combining mutation and fault localization for automated program debugging
Journal of Systems and Software
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We present an evolutionary approach using Genetic Programming (GP) to automatically create software repairs. By concentrating the modifications on regions related to where the bug occurs, we effectively minimize the search space complexity and hence increase the performance of the GP process. To preserve the core functionalities of the program, we evolve programs only from code in the original program. Early experimental results show our GP approach is able to fix various program defects in reasonable time.