TdSE lecture: AI as a mediator between humans and system models
In his presentation at TdSE 2023, Michael Jastram will show how AI can act as an intermediary between humans and system models.
Review: INCOSE guide for writing requirements
The INCOSE guide for writing requirements helps with the description of complex systems.
Automatically model requirements without anyone noticing
Traditionally, requirements are recorded in natural language and are therefore accessible to humans. However, they can only be processed by machines to a limited extent. This means that a human still has to read the requirements for many activities. And again. And again. Highly paid engineers often work through checklists that a working student could also take care of....
The advantages of controlled vocabulary in numbers
Word has long since gotten around that in systems engineering we should not just start writing. Instead, we should control the language. The vocabulary to be used is an important aspect that can be easily controlled. I recently came across a study that deals with precisely this topic, the effects of controlled vocabulary in systems engineering.
Requirement check everywhere with one click
There are now more and more tools for checking requirements - I recently mentioned the open source library Vale. As a by-product of a customer project, I have developed a simple Vale-based quality check. You can now activate it anywhere with one click via a web browser extension. It works in Confluence, Jama or Polarion. Which rules are supported and how...
Requirements with Vale "linten"
Programmers know what "lintering" is: to put it bluntly, it is the tidying up and maintenance of software code. More precisely, it is static code analysis: a linter recommends deleting unused variables, for example. Vale is a linter that helps authors of texts to maintain them. And Vale can also be used to line requirements....
Why written text is more important than ever
The possibilities of modern communication are almost limitless. Alongside real-time video, jamboards, voice messages and many other possibilities, the written word seems almost quaint. But if we take a closer look, we realize that written text has not lost any of its importance. And not only that: although many types of digital communication have increased during the pandemic, the written word has...
Work more efficiently with the Semiant glossary browser extension
Glossaries are a tricky thing: on the one hand, everyone in the team is grateful when there is a well-maintained glossary. On the other hand, nobody wants to take on the work of creating it. The coordination process can also lead to disgruntlement and consume vast amounts of time. And even if there is a good glossary: There is a great danger that many...
Find and summarize relevant documents with AI
Even if the specifications are manageable, an ever-increasing mountain of relevant documents is piling up next to them. On the one hand, there are standards that need to be taken into account, and on the other hand, there are the applicable documents. These can quickly amount to hundreds or even thousands of pages of text. Experts familiarize themselves with the relevant documents over many years and...
Making requirements machine-readable with AI
Requirements management is a key discipline in product development, for example, requirements are an enabler for communication. Customers and suppliers use requirements to capture a common understanding of what needs to be done. But requirements are not machine-readable. There are powerful tools that make it easier for us to deal with requirements. But for these tools, the actual...
Tower of Babel: 5 ideas for a common language in the SE
A common language is important. Not every approach fits. Here are 5 ideas to get started with a suitable solution.
5 possibilities for automation in requirements management with AI
Even if AI - Artificial Intelligence - is a platitudinous term, AI is undoubtedly finding its way into systems engineering. AI is generally about the automation of intelligent behavior. The important keyword is "automation". AI enables a degree of automation that would not have been possible even five years ago. For requirements management, this means that...
