Genetic Improvement @ ICSE 2023-Reference-Cited by-同舟云学术

Genetic Improvement @ ICSE 2023

Published:2023-10-13 Issue:4 Volume:48 Page:51-59
ISSN:0163-5948
Container-title:ACM SIGSOFT Software Engineering Notes
language:en
Short-container-title:SIGSOFT Softw. Eng. Notes

Author:

Langdon William B.¹,Nowack Vesna²,Petke Justyna³,Wagner Markus⁴,Lee Hyeonseok⁵,Fredericks Erik M.⁶,An Gabin⁵,Blot Aymeric⁷

Affiliation:

1. UCLA, London, United Kingdom

2. Imperial College, London, United Kingdom

3. UCL, London, United Kingdom

4. Monash University, Melbourne, Australia

5. KAIST, South Korea

6. Grand Valley State University, MI, USA

7. Universite du Littoral Cote d'Opale, Calais, France

Abstract

Following the formal presentations, which included keynotes by Prof. Myra B. Cohen of Iowa State University and Dr. Sebastian Baltes of SAP as well as six papers (which are recorded in the pro- ceedings) there was a wide ranging discussion at the twelfth inter- national Genetic Improvement workshop, GI-2023 @ ICSE held on Saturday 20th May 2023 in Melbourne and online via Zoom. Topics included GI to improve testing, and remove unpleasant surprises in cloud computing costs, incorporating novelty search, large language models (LLM ANN) and GI benchmarks.

Publisher

Association for Computing Machinery (ACM)

Subject

Pharmacology (medical),Complementary and alternative medicine,Pharmaceutical Science

Link

https://dl.acm.org/doi/pdf/10.1145/3617946.3617956

Reference42 articles.

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5. Automated program repair