Context: User stories have been widely accepted as artifacts to capture the user
requirements in agile software development. They are short pieces of texts in a semi …

Agile software development has large success rate due to its benefits and promising nature
but natively where the size of the project is small. Requirement engineering (RE) is crucial …

Natural language (NL) is arguably the most prevalent medium for expressing systems and
software requirements. Detecting incompleteness in NL requirements is a major challenge …

Extracting conceptual models from natural language requirements can help identify
dependencies, redundancies, and conflicts between requirements via a holistic and easy-to …

Abstract CONTEXT: Intelligent Software Engineering (ISE) refers to the application of
intelligent techniques to software engineering. We define an “intelligent technique” as a …

Natural language (NL) is still the predominant notation that practitioners use to represent
software requirements. Albeit easy to read, NL does not readily highlight key concepts and …

Context. Defects such as ambiguity and incompleteness are pervasive in software
requirements, often due to the limited time that practitioners devote to writing good …

Implementing enterprise resource planning (ERP) systems remains challenging and
requires organizational changes. Given the scale and complexity of ERP projects …

User stories are a widely used artifact in Agile software development. Currently, only a
limited number of secondary studies have reviewed the research on the user story …

In agile software development, maintaining high-quality user stories is crucial, but also
challenging. This study explores the application of large language models (LLMs) to …