- author = "ThanhVu Nguyen and Westley Weimer and Claire {Le Goues} and Stephanie Forrest",
- title = "Using Execution Paths to Evolve Software Patches",
- booktitle = "International Conference on Software Testing, Verification and Validation Workshops, ICSTW '09",
- year = "2009",
- editor = "Phil McMinn and Robert Feldt",
- pages = "152--153",
- address = "Denver, Colorado, USA",
- month = "1-4 " # apr,
- organisation = "EvoTest",
- keywords = "genetic algorithms, genetic programming, genetic improvement, APR, SBSE, Zunebug 31 Dec 2008, SRGP, evolutionary approach, execution path, minimization, program testing, search space complexity, software patch, software repair, program debugging, program diagnostics, program testing",
-
URL = "
http://iaser.tek.bth.se/feldt/conferences/sbst09/papers/nguyen_sbst09.pdf",
-
DOI = "
doi:10.1109/ICSTW.2009.35",
- size = "2 pages",
- abstract = "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.",
-
notes = "Best short paper and Best presentation awards!
Zero fitness if fail to compile or run time exceeds 5 seconds. SUS, 1-point crossover, md5sum. Structural differencing algorithms. Delta debugging. Almost all examples are C segmentation faults or infinite loops, except atris. Cil.
http://iaser.tek.bth.se/feldt/conferences/sbst09 In conjunction with ICST 2009 IEEE International Conference on Testing, Verification and Validation Also known as \cite{4976381}",
