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

In most safety-critical domains the need for traceability is prescribed by certifying bodies.
Trace links are generally created among requirements, design, source code, test cases and …

Software traceability establishes and leverages associations between diverse development
artifacts. Researchers have proposed the use of deep learning trace models to link natural …

Requirements traceability enables software engineers to trace a requirement from its
emergence to its fulfillment. In this paper we examine requirements traceability definitions …

Software traceability is a sought-after, yet often elusive quality in software-intensive systems.
Required in safety-critical systems by many certifying bodies, such as the USA Federal …

This paper addresses the issues related to improving the overall quality of the dynamic
candidate link generation for the requirements tracing process for verification and validation …

Traceability—the ability to follow the life of software artifacts—is a topic of great interest to
software developers in general, and to requirements engineers and model-driven …

Software and systems traceability is widely accepted as an essential element for supporting
many software development tasks. Today's version control systems provide inbuilt features …

Engineers in large-scale software development have to manage large amounts of
information, spread across many artifacts. Several researchers have proposed expressing …

Traceability of software artefacts has been recognized as an important factor for supporting
various activities in the software system development process. In general, the objective of …