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 …

Natural Language Processing (NLP) is widely used to support the automation of different
Requirements Engineering (RE) tasks. Most of the proposed approaches start with various …

Acceptance testing is crucial to determine whether a system fulfills end-user requirements.
However, the creation of acceptance tests is a laborious task entailing two major …

A growing trend in requirements elicitation is the use of machine learning (ML) techniques to
automate the cumbersome requirement handling process. This literature review summarizes …

Mobile applications are continuously increasing in prevalence. One of the main challenges
in mobile application development is creating cross‐platform applications. To facilitate …

Distances derived from word embeddings can measure a range of gradational relations—
similarity, hierarchy, entailment, and stereotype—and can be used at the document-and …

Ambiguity means that a single reader can interpret the natural language (NL) software
requirement in more than one way or that multiple readers come to different interpretations …

In this research, we present an algorithm that leverages language-transformer technologies
to automate the generation of product requirements, utilizing E-Shop consumer reviews as a …

To use Large Language Models (LLMs) in a targeted way for NLP problems in RE, we
require both (1) basic knowledge about the inner workings of LLMs and (2) a guideline on …

Recently, the application of neural word embeddings for detecting cross-domain ambiguities
in software requirements has gained a significant attention from the requirements …