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Evolution of Editing Scripts From Examples

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU149375" target="_blank" >RIV/00216305:26230/23:PU149375 - isvavai.cz</a>

  • Result on the web

    <a href="https://github.com/mark-sed/ebe" target="_blank" >https://github.com/mark-sed/ebe</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3583133.3590565" target="_blank" >10.1145/3583133.3590565</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolution of Editing Scripts From Examples

  • Original language description

    Experienced programmers use editing scripts to effectively modify selected lines and columns in a file or a set of files according to a desired editing transformation. For many non-programmers, it is, however, out of their skill sets to develop such scripts. We propose a software tool that significantly simplifies this task. The user is asked to create a snippet of the file before and after the desired edits (input and output example). The proposed tool uses these examples to evolve an editing script which is then executed on all lines of the input files to perform the expected transformation. We developed a simple programming language for file edits and a genetic programming-based system capable of evolving scripts in this language. For typical source files in which some data has to be deleted, added, or modified, the proposed system can evolve a valid script performing desired transformations in order of seconds or minutes.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA22-02067S" target="_blank" >GA22-02067S: AppNeCo: Approximate Neurocomputing</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '23)

  • ISBN

    979-8-4007-0120-7

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    803-806

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    Lisbon

  • Event location

    Lisbon

  • Event date

    Jul 15, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article