Mapping techniques make complex relationships visible and help derive requirements in a structured way. We will introduce four methods: The Business Model Canvas, Event Storming, Customer Journey, and Story Mapping. Learn how to apply these techniques to requirements engineering and the added value they offer your projects.
The EU AI Act emphasizes the need for AI expertise tailored to specific use cases. Requirements engineers must critically evaluate AI results and understand risks such as hallucinations, bias, and data protection issues. This blog post explains how the IREB-AI4RE Micro-Credential helps requirements engineers use AI in a targeted and responsible manner.
The EU AI Act introduces new risk management requirements for AI systems. Learn why traditional risk analyses are reaching their limits, and discover how to ensure the security and compliance of your processes with end-to-end traceability, integrated AI support, and a single source of truth.
In the future, how could AI support impact analysis in requirements engineering? This article presents an overview of the product vision for objectiF RPM, in which AI is used to identify, classify and justify the potential impact of changes to requirements. The aim is to combine traceability with generative AI to highlight the consequences of changes to requirements and other project artefacts.
The EU AI Act is fundamentally changing the way we engineer AI systems. Learn why data, statistical quality thresholds, and traceability are central to modern AI requirements and how to manage growing complexity.
The train is late, the luggage is lost, the restaurant is closed. In vacation, things rarely go according to plan. We show which lessons can be learned from vacation mishaps regarding dependencies, risks, and how to handle plan changes.
Outdated requirements can pose an unseen risk to development projects. Learn how such “zombie requirements” arise and why they endanger testing, traceability, and compliance. Learn how to identify and avoid orphaned specifications.
In this stakeholder interview, a production strategist asks a systems engineer what features he really needs from a requirements engineering (RE) tool.
A Single Source of Truth (SSOT) is more than just an IT concept. Learn how to eliminate version chaos, empower your teams, and establish a reliable foundation for AI-powered requirements engineering with objectiF RPM.
With objectiF RPM 9.5, AI supports not just individual tasks, but entire project activities. We will show you what this might look like in an example within the tool.
Generative AI can create requirements and code in seconds. However, without UML, SysML and model-based software development, crucial context is often missing. Find out why visual models are more important than ever in the age of AI.
In development projects, cybersecurity often fails not due to a lack of awareness, but rather because information is scattered across various tools. Learn how to sustainably improve cybersecurity with TARA (Threat Analysis and Risk Assessment) and centralized information management.
Cybersecurity should not be an afterthought. Security vulnerabilities often arise as early as the planning stage. This article explains why Security by Design is essential today and how methods such as threat modeling and TARA can help identify risks and develop security measures early on.
Setting ambitious goals is often just the first step. What really matters is how you translate those goals into measurable outcomes and concrete actions. Our OKR project template provides two preconfigured AI assistants that help you do just that. They generate appropriate key results for your objectives and derive actionable tasks directly from them.
Labels can be centrally managed, flexibly assigned, and evaluated across different types of elements. Using the “VisitorPass” sample project, we demonstrate how labels help you find information faster, visualize relationships, and manage projects more efficiently.
At microTOOL, 2026 will be all about sensible AI use: practical, secure, and always people-focused. Read about our specific plans in our New Year’s blog.
This blog post humorously illustrates how Santa Claus meets the biggest deadline of the year by employing clean requirements engineering, cross-functional teams, and AI support.
This article will guide you through the process of configuring your own AI assistant in objectiF RPM, step by step. You will learn how to set up data models, schemas, and prompts to ensure the assistant provides useful results.
We will show you how easy it is to create an AI assistant for training trips in objectiF RPM, as well as how to generate a complete travel plan from just a few inputs.
At microTOOL, we explored how AI can make everyday work more efficient and came up with some exciting ideas. The key is training employees to build AI skills and letting humans and AI work together as a team.