Natural Language Processing for Requirements Engineering (NLP4RE) is an area of
research and development that seeks to apply natural language processing (NLP) …

Requirements Engineering (RE) has undergone several transitions over the years, from
traditional methods to agile approaches emphasising increased automation. In many …

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

During requirements elicitation, different stakeholders with diverse backgrounds and skills
need to effectively communicate to reach a shared understanding of the problem at hand …

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 …

Domain modeling is an important step in the transition from natural-language requirements
to precise specifications. For large systems, building a domain model manually is a …

Acceptance testing is a validation activity performed to ensure the conformance of software
systems with respect to their functional requirements. In safety critical systems, it plays a …

In the railway safety-critical domain requirements documents have to abide to strict quality
criteria. Rule-based natural language processing (NLP) techniques have been developed to …

Researchers have proposed that generating conceptual models automatically from user
stories might be useful for agile software development. It is, however, unclear from the state …

Agile is often associated with a lack of architectural thinking causing technical debt but has
the advantage of user centricity and a strong focus on value. Model-driven software …