eprintid: 10204648
rev_number: 8
eprint_status: archive
userid: 699
dir: disk0/10/20/46/48
datestamp: 2025-02-13 12:49:59
lastmod: 2025-02-13 16:03:48
status_changed: 2025-02-13 12:49:59
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Songpetchmongkol, Thanatad
creators_name: Blot, Aymeric
creators_name: Petke, Justyna
title: Empirical Comparison of Runtime Improvement
Approaches: Genetic Improvement, Parameter
Tuning, and Their Combination
ispublished: inpress
divisions: UCL
divisions: B04
divisions: F48
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
date: 2025-04-27
date_type: published
publisher: ICSE
official_url: https://geneticimprovementofsoftware.com/events/icse2025
full_text_type: other
language: eng
verified: verified_manual
elements_id: 2360067
lyricists_name: Petke, Justyna
lyricists_id: JPETK66
actors_name: Petke, Justyna
actors_id: JPETK66
actors_role: owner
full_text_status: restricted
pres_type: paper
event_title: GI 2025: The 14th International Workshop on Genetic Improvement (Co-located with the 47th IEEE/ACM International Conference on Software Engineering, ICSE 2025)
citation:        Songpetchmongkol, Thanatad;    Blot, Aymeric;    Petke, Justyna;      (2025)    Empirical Comparison of Runtime Improvement Approaches: Genetic Improvement, Parameter Tuning, and Their Combination.                     In:   (Proceedings) GI 2025: The 14th International Workshop on Genetic Improvement (Co-located with the 47th IEEE/ACM International Conference on Software Engineering, ICSE 2025).   ICSE    (In press).   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10204648/1/GI_parametet_tuning.pdf