This paper presents PURE (PUblic REquirements dataset), a dataset of 79 publicly available
natural language requirements documents collected from the Web. The dataset includes …

A glossary is an important part of any software requirements document. By making explicit
the technical terms in a domain and providing definitions for them, a glossary helps mitigate …

The automatic extraction of structure from text can be difficult for machines. Yet, the
elicitation of this information can provide many benefits and opportunities for various …

Context: Many critical systems must comply with safety standards as a way of providing
assurance that they do not pose undue risks to people, property, or the environment. Safety …

Machine learning (ML) has demonstrated practical impact in a variety of application
domains. Software engineering is a fertile domain where ML is helping in automating …

Software documentation supports a broad set of software maintenance tasks; however,
creating and maintaining high-quality, multi-level software documentation can be incredibly …

Requirements quality research, which is dedicated to assessing and improving the quality of
requirements specifications, is dependent on research artifacts like data sets (containing …

In this paper we propose a methodology to reduce the complexity to realize a software
validation model, starting from medical specifications written in Italian natural language text …

Stakeholder requirements (also known as user requirements) are defined at an early stage
of a software project to describe the problem (s) to be solved. At a later stage, abstract …

The development process of a system is shaped by numerous variables that influence its
progress and outcome. As a result, complexity can increase throughout the development …