Transitioning to Software-Defined Vehicles: from MDD to modern Software Engineering

CONTACT The automotive industry has long embraced model-driven development (MDD) as a foundational methodology for designing and implementing vehicle software systems, particularly in the context of embedded control systems. While…

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Software-Defined Vehicles vs IoT: Leveraging Generic CPUs for Software-Driven Sensor Functionality

CONTACT The transition to Software-Defined Vehicles (SDVs) mirrors many principles found in the Internet of Things (IoT), particularly in how both domains shift from dedicated hardware to flexible, software-driven architectures.…

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Shifting from Cost Controlling to Strategic Investment in Automotive

CONTACT Shifting from Cost Controlling to Strategic Investment in AutomotiveThe transition to software-defined vehicles (SDVs) elevates software as a pivotal asset in automotive innovation, yet many organizations cling to a…

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From legacy burden to future-proof solution

A customer was struggling with a DevSecOps environment built on a patchwork of custom scripts. Over time, this setup became increasingly difficult to maintain, less efficient and harder to scale. Through focused consultation and a strategic redesign, we delivered a modern, stable and future-proof DevSecOps solution designed for long-term performance.

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Atlassian, AI & Security: What You Need to Act on Now

Atlassian ends self-hosted solutions by 2029, AI software supply chain security trends in 2026, DevSecOps events in Germany 2026, end-to-end traceability with IBM DOORS, how to prepare for Atlassian cloud migration, machine identities in AI development security, knowmad mood Germany technology newsletter

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