Dissecting Copy/Delete/Replace/Swap mutations: Insights from a GIN Case Study

Created by W.Langdon from gp-bibliography.bib Revision:1.8592

@InProceedings{Licorish:2022:GI,

• author = "Sherlock A. Licorish and Markus Wagner",
• title = "Dissecting Copy/Delete/Replace/Swap mutations: Insights from a {GIN} Case Study",
• booktitle = "GI @ GECCO 2022",
• year = "2022",
• editor = "Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and W. B. Langdon and Justyna Petke",
• pages = "1940--1945",
• address = "Boston, USA",
• publisher_address = "New York, NY, USA",
• month = "9 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• keywords = "genetic algorithms, genetic programming, genetic improvement, APR, Automated static analysis, SBSE, Search-based software engineering, Source Code Analyzer Project, PMD, Java, GIN",
• isbn13 = "978-1-4503-9268-6/22/07",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Licorish_2022_GI.pdf",
• DOI = "doi:10.1145/3520304.3533970",
• slides_url = "http://geneticimprovementofsoftware.com/slides/gi2022gecco/wagner-dissecting-copy-delete-replace-swap-gi-gecco-22.pdf",
• video_url = "https://www.youtube.com/watch?v=CI5sT3L_-CI&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje&index=9",
• size = "6 pages",
• abstract = "Research studies are increasingly critical of publicly available code due to evidence of faults. This has led researchers to explore ways to improve such code, with static analysis and genetic code improvement previously singled out. Previous work has evaluated the feasibility of these techniques, using PMD and GIN for enhancing Stack Overflow code snippets. Results reported in this regard pointed to the potential of these techniques, especially in terms of GIN removal of PMD performance faults from 58 programs. We use a contextual lens to explore these mutations in this study, to evaluate the promise of these techniques. The outcomes show that while the programs were syntactically correct after GIN mutations, many of GIN mutations changed the semantics of the code, rendering its purpose questionable. However, certain code mutations tend to retain code semantics more than others. In addition, GINs mutations at times affected PMDs parsing ability, potentially increasing false negatives. Overall, while these approaches may prove useful, full utility may not be claimed at this time. For enhancing the outcomes of these approaches, we outline multiple strategies.",
• notes = "cites \cite{DBLP:journals/corr/abs-2202-01490} they report 'GIN mutations removed all' violations

  Human study by both authors.

  https://pmd.github.io/ https://pmd.github.io/latest/pmd_rules_java.html

  Highly used Stack Overflow snips from 2014, 2015 and 2106.

  http://geneticimprovementofsoftware.com/events/gecco2022

  Table 1: efficient Java code

  'almost all fixing mutations remove the offending code and thus change the semantics' 'removing offending code can be an effective program repair strategy.'

  GECCO-2022 A Recombination of the 31st International Conference on Genetic Algorithms (ICGA) and the 27th Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for Sherlock A Licorish Markus Wagner

Citations