Detecting semantic similarity between textual requirements is a crucial task for various
natural language processing (NLP)-based requirements engineering (RE) applications. It is …

Few-shot learning-the ability to train models with access to limited data-has become
increasingly popular in the natural language processing (NLP) domain, as large language …

Traditional language models have been extensively evaluated for software engineering
domain, however the potential of ChatGPT and Gemini have not been fully explored. To …

Early detection and resolution of duplicate and conflicting requirements can significantly
enhance project efficiency and overall software quality. Researchers have developed …

Functional requirement identification is the initial stage in software development and a
crucial step in the success of software development. Good functional requirements …

Computer-aided processes can be used to improve the quality of requirements in software
projects. These processes, in principle, can be divided into two stages: requirement quality …

The pivotal significance of software requirements in software development should not be
underestimated since they have a profound influence on project triumph and software …

Few-shot learning—the ability to train models with access to limited data—has become
increasingly popular in the natural language processing (NLP) domain, as large language …