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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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e-ISSN
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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
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