Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …

Large language models (LLMs) are being increasingly deployed as part of pipelines that
repeatedly process or generate data of some sort. However, a common barrier to …

Large Language Models (LLMs) applied to code-related applications have emerged as a
prominent field, attracting significant interest from both academia and industry. However, as …

Operationalizing large language models (LLMs) for custom, repetitive data pipelines is
challenging, particularly due to their unpredictable and potentially catastrophic failures …

Large Language Models (LLMs) are revolutionizing the field of code development by
leveraging their deep understanding of code patterns, syntax, and semantics to assist …

Symbolic execution is an automated test input generation technique that models individual
program paths as logical constraints. However, the realism of concrete test inputs generated …

Automated unit test generators, particularly search-based software testing tools like
EvoSuite, are capable of generating tests with high coverage. Although these generators …

With the advent of large language models (LLMs) in the artificial intelligence (AI) area, the
field of software engineering (SE) has also witnessed a paradigm shift. These models, by …

Testing plays a crucial role in the software development cycle, enabling the detection of
bugs, vulnerabilities, and other undesirable behaviors. To perform software testing, testers …