Just for fun, we unleashed a home-cooked neural network on a trove of 68 requirements documents to see if it could whip us up a set of 45 functional requirements that passed the QVscribe Quality Analysis test. Here’s what we learned.
Our team has scoured the internet to find out what the industry has to offer in terms of requirements documentation tools, from elicitation, authoring, management, and everything in between. We’ve taken this research and compiled it into the ultimate Requirements Engineering tool stack for 2020 so you and your team can stay ahead of the curve.
The status quo of requirements specification in non-dedicated authoring tools is no longer an option due to increased complexity/cost of post-silicon validation, increasingly stringent standards compliance, and specification quality issues due to reuse and best practice negligence. Fortunately, there are now requirements authoring tools that solve all of these issues…
We’ve taken the most essential points from expert research in oil and energy industries and identified the key factors when it comes to writing standards and requirements processes for oil and gas projects. Take these guidelines and this checklist and save time and headache in your future writing needs.
Introduction Like many professions, the world of engineering and project management has its own “terms of art” that can be confusing to experts and novices
While requirements documents are not new to the automotive industry, the rapid rate of change brought about by the introduction of sophisticated automated and electrified systems means that drawing up a requirements document is now no longer a best-in-class practice, but rather, critical to ensuring the timeous delivery of a cost-effective product that meets customer’s expectations, and safety and emissions requirements.
In this guide, we’ll take an in-depth look at the Easy Approach to Requirements Syntax – EARS. Including how to apply them, and the benefits of using them. Then, we’ll discuss how to implement EARS within your own organization.
Writing clear, unambiguous requirements in natural (spoken) language has never been easy. In the context of requirements definition, the inherent imprecisions and ambiguities of natural language can frustrate even the best of writers. Since at least the 1970s – long before the term ‘requirements engineering’ came into general use – engineers have sought ways to overcome the weaknesses of natural language as a medium for requirement specification.
To reduce engineering risk, Ultra Electronics Maritime Systems (Ultra) is always looking for ways to identify and eliminate requirements errors – and to do so as early as possible.
The Directorate of Air Programmes at the Royal Canadian Air Force (D Air Prog) had realized that ambiguous and vague requirements represent a significant risk to the Department of National Defence’s (DND) procurement process.
