Cybersecurity threats have become increasingly complex and adaptive, requiring dynamic
defense mechanisms that can keep pace with evolving attack vectors. The proposed hybrid …

Foundation model-enabled generative artificial intelligence facilitates the development and
implementation of agents, which can leverage distinguished reasoning and language …

The introduction of generative pre-trained models, like GPT-4, has introduced a
phenomenon known as prompt engineering, whereby model users repeatedly write and …

Foundation Model (FM) based agents are revolutionizing application development across
various domains. However, their rapidly growing capabilities and autonomy have raised …

LLM-based assistants, such as GitHub Copilot and ChatGPT, have the potential to generate
code that fulfills a programming task described in a natural language description, referred to …

Foundation models (FMs) such as large language models (LLMs) have significantly
impacted many fields, including software engineering (SE). The interaction between SE and …

Software developers use natural language to interact not only with other humans, but
increasingly also with chatbots. These interactions have different properties and flow …

The last decade has seen widespread adoption of Machine Learning (ML) components in
software systems. This has occurred in nearly every domain, from natural language …

The rise of Foundation Models (FMs) like Large Language Models (LLMs) is revolutionizing
software development. Despite the impressive prototypes, transforming FMware into …

As foundation models (FMs) play an increasingly prominent role in complex software
systems, such as FM-powered agentic software (ie, Agentware), they introduce significant …