The increased presence of large language models (LLMs) in educational settings has
ignited debates concerning negative repercussions, including overreliance and inadequate …

AI-based code assistants are promising tools that can facilitate and speed up code
development. They exploit machine learning algorithms and natural language processing to …

The rapid advancements in generative artificial intelligence (AI) offer multiple opportunities
for its application in various domains, including software engineering (SE). This chapter …

In this paper, we explore the application of Large Language Models (LLMs) in the particular
context of end-to-end software construction, ie, in contexts where software developers have …

Group work is a commonly used method of working, and the performance of a group can
vary depending on the type and structure of the task at hand. Research suggests that groups …

We are developing an AI assistance platform that enables individuals with a limited technical
background, such as children, to create mobile applications from natural language input …

Code vulnerability detection is a software security analysis technique that focuses on
recognizing and resolving possible code vulnerabilities and weaknesses. Its primary …

Advances in cryogenic electron microscopy (cryoEM) single particle analysis have
revolutionized structural biology by facilitating the in vitro determination of atomic-and near …

In 2022, generative model based coding assistants became widely available with the public
release of GitHub Copilot. Approaches to generative coding are often critiqued within the …

Software engineering researchers and practitioners have pursued manners to reduce the
amount of time and effort required to develop code and increase productivity since the …