HOMI: Searching Higher Order Mutants For Software Improvement

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Wu:2016:SSBSE,
  author =       "Fan Wu and Mark Harman and Yue Jia and Jens Krinke",
  title =        "HOMI: Searching Higher Order Mutants For Software
                 Improvement",
  booktitle =    "Proceedings of the 8th International Symposium on
                 Search Based Software Engineering, SSBSE 2016",
  year =         "2016",
  editor =       "Federica Sarro and Kalyanmoy Deb",
  volume =       "9962",
  series =       "LNCS",
  pages =        "18--33",
  address =      "Raleigh, North Carolina, USA",
  month =        "8-10 " # oct,
  publisher =    "Springer",
  note =         "best paper",
  keywords =     "genetic algorithms, genetic programming, genetic
                 improvement, SBSE",
  isbn13 =       "978-3-319-47106-8",
  DOI =          "doi:10.1007/978-3-319-47106-8_2",
  abstract =     "This paper introduces HOMI, a Higher Order Mutation
                 based approach for Genetic Improvement of software, in
                 which the code modification granularity is finer than
                 in previous work while scalability remains. HOMI
                 applies the NSGA-II algorithm to search for higher
                 order mutants that improve the non-functional
                 properties of a program while passing all its
                 regression tests. Experimental results on four
                 real-world C programs shows that up to 14.7percent
                 improvement on time and 19.7percent on memory are found
                 using only First Order Mutants. By combining these
                 First Order Mutants, HOMI found further improvement in
                 Higher Order Mutants, giving an 18.2percent improvement
                 on the time performance while keeping the memory
                 improvement. A further manual analysis suggests that
                 88percent of the mutation changes cannot be generated
                 using line based plastic surgery Genetic Improvement
                 approaches.",
  notes =        "GP?

                 co-located with ICSME-2016 gismo",
}

Genetic Programming entries for Fan Wu Mark Harman Yue Jia Jens Krinke

Citations