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 …

Requirements engineering has traditionally been stakeholder-driven. In addition to domain
knowledge, widespread digitalization has led to the generation of vast amounts of data (Big …

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 …

With the presence of a massive amount of digitally recorded data, an automated
computation can be preferable over the manual approach to evaluate sentiments within …

Context The user story is a popular artifact in agile software development. Extracting user
stories is helpful for process improvement in requirements elicitation, closing limitations such …

Tenders or technical terms contain a large quantity of both technical, legal, managerial
information mixed in a nested and complex net of relationships. Extracting technical and …

The design of complex engineering systems is an often long and articulated process that
highly relies on engineers' expertise and professional judgment. As such, the typical pitfalls …

To specify good requirements, system analysts need to understand the domain knowledge
of the system. There are several techniques in requirements elicitation to improve domain …

Identifying features and their relations (ie, variation points) is crucial in the process of
migrating single software systems to software product lines (SPL). Various approaches have …

Abstract Domain analysis aims at gaining knowledge to a particular domain in the early
stage of software development. A key challenge in domain analysis is to extract features …