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

In this paper, we review current requirements engineering (RE) research and identify future
research directions suggested by emerging software needs. First, we overview the state of …

This paper reports the extension of the key words method for the comparison of corpora.
Using automatic tagging software that assigns part-of-speech and semantic field (domain) …

Many different types of models are used in various scientific and engineering fields,
reflecting the subject matter and the kinds of understanding that is sought in each field …

Abstract [Context and motivation] Natural language is the main representation means of
industrial requirements documents, which implies that requirements documents are …

We present a novel technique that automatically alerts authors of requirements to the
presence of potentially dangerous ambiguities. We first establish the notion of nocuous …

Though very important in software engineering, linking artifacts of the same type (clone
detection) or different types (traceability recovery) is extremely tedious, error-prone, and …

In this paper, we describe a novel unsupervised approach for detecting, classifying, and
tracing non-functional software requirements (NFRs). The proposed approach exploits the …

Domain analysis involves not only looking at standard requirements documents (eg, use
case specifications) but also at customer information packs, market analyses, etc. Looking …

In this paper, we discuss the limitations of the current syntactic composition mechanisms in
aspect-oriented requirements engineering (AORE). We highlight that such composition …