This paper provides a survey of the emerging area of Large Language Models (LLMs) for
Software Engineering (SE). It also sets out open research challenges for the application of …

There have been rapid recent developments in automated software test design, repair and
program improvement. Advances in artificial intelligence also have great potential impact to …

Evolving LLVM IR is widely applicable, with LLVM Clang offering support for an increasing
range of computer hardware and programming languages. Local search mutations are used …

In this paper we address the following question: How can we use Large Language Models
(LLMs) to improve code independently of a human, while ensuring that the improved code …

Magpie (Machine Automated General Performance Improvement via Evolution of software)
has been recently developed by Aymeric Blot from PyGGI 2.0. Like PyGGI, it claims to be …

With our reliance on software continuously increasing, it is of utmost importance that it be
reliable. However, complete prevention of bugs in live systems is unfortunately an …

TestGen automatically generates unit tests, carved from serialized observations of complex
objects, observed during app execution. We describe the development and deployment of …

Realizing modern software systems poses new challenges to the software engineers: Users
of applications running on limited capability devices still demand acceptable performance [2 …

The GI@ ICSE 2024 workshop, held 16 April, in addition to presentations, contained a
keynote on how to use Genetic Improvement to control deep AI large language models in …