GI workshop "Early Bird" registration ends 12 February 2024
https://conf.researchr.org/attending/icse-2024/registration
The 13th International Workshop on Genetic Improvement
co-located with the 46th IEEE/ACM International Conference
on Software Engineering, ICSE 2024, Lisbon, Portugal,
16 April 2024
https://geneticimprovementofsoftware.com/events/icse2024
The workshop will include an invited Keynote presentation given by
Prof. Dr. Shin Yoo head of Computational Intelligence for Software
Engineering, KAIST, Korea.
Keynote: Executing One's Way out of the Chinese Room
One very attractive property of Large Language Models (LLMs) is
their emergent in-context learning capability, which enables us to
simply describe our requirements in natural languages and get the
corresponding source code generated in programming languages. While
LLMs as a generative model are known to hallucinate, i.e.,
generate factually incorrect contents, the fact that code can be
executed can be used to fight this phenomenon. We briefly look at
existing techniques designed to improve the correctness of code
generated by LLMs, and will try to imagine the future of Genetic
Improvement that is supported, enhanced, and driven by LLMs.
Additionally Dr. Aymeric Blot, senior lecturer at the University of
Rennes, France and author of the language independent GI tool Magpie
will give a tutorial on it:
Tutorial: Automated Software Performance Improvement with Magpie
Magpie is a powerful tool for both Genetic Improvement researchers
and practitioners. Magpie stands at the forefront of software
evolution, providing a streamlined approach to model, evolve, and
automatically improve software systems. Addressing both functional
and non-functional concerns, Magpie offers a user-friendly no-code
interface that seamlessly integrates various search processes as
well as enabling easy Python code injection for advanced users to
further tailor and specialise the improvement process to meet
their specific needs. We will provide a concise overview of
Magpie's internals before exploring diverse real-world scenarios.
In addition to the formal paper presentations there will be informal
discussions, and prizes
Deep Mutations have Little Impact
** W.B. Langdon ** and David Clark
Grammar evolution and symbolic regression for astrometric centering of
Hubble Space Telescope images
** Beatriz R. Sarmiento **, Marina de la Cruz, Alfonso Ortega,
Roberto Baena-Galle, Terrence Girard, Dana Casetti-Dinescu and
Alejandro Cervantes
Genetic Improvement for DNN Security
** Hunter Baxter **, Yu Huang, and Kevin Leach
Ecosystem Curation in Genetic Improvement for Emergent Software Systems
** Zsolt Nemeth **, Penn Faulkner Rainford and Barry Porter
Human Guidance Approaches for the Genetic Improvement of Software
** Benjamin Craine **, Penn Rainford and Barry Porter
On Reducing Network Usage with Genetic Improvement
James Callan, Bill Langdon and ** Justyna Petke **
Important Dates:
~~~~~~~~~~~~~
Early Registration: 12 February 2024
Workshop: 16 April 2024
See https://conf.researchr.org/home/icse-2024 for details of ICSE 2024.
Recordings:
As with GI 2020-23, the workshop recordings will be available,
eg on YouTube https://www.youtube.com/@gi_workshop
Special Issue on GI in the Automated Software Engineering journal:
Authors of selected papers will be invited to submit an
extended version of their paper to the ASE journal's second
special issue on Genetic Improvement.
Workshop Chairs:
~~~~~~~~~~~~~~
Gabin An [log in to unmask]
Aymeric Blot [log in to unmask]
Vesna Nowack [log in to unmask]
Oliver Krauss [log in to unmask]
Justyna Petke [log in to unmask]
Details about the Genetic Improvement workshop can be found via:
https://geneticimprovementofsoftware.com/events/icse2024
The web site also contains GI papers, blogs, success stories, a living
survey, tools, benchmarks, people, GitHub, as well as past events,
tutorials and workshops.
Thank you
Bill
Prof. W. B. Langdon
Department of Computer Science
University College London
Gower Street, London WC1E 6BT, UK
http://www.cs.ucl.ac.uk/staff/W.Langdon/
Human-Competitive Awards http://www.human-competitive.org
GI @ ICSE 2024 https://geneticimprovementofsoftware.com/events/icse2024
GP EM http://www.springer.com/10710
A Field Guide to Genetic Programming
http://www.gp-field-guide.org.uk/
GP Bibliography http://gpbib.cs.ucl.ac.uk/
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