Articles on Automotive SPICE, embedded systems, cybersecurity, functional safety and industrial product development. The insights section brings together perspectives from projects, methods and technical challenges across modern engineering and quality processes.
A practical perspective from a software expert witness
AI in software testing can increase efficiency – but also introduces new risks. This article explains what works, where the limits are, and why liability is often underestimated.
Selected expert articles, technical perspectives and practical insights from engineering, quality and industrial project environments.
Many companies believe that software failures are simply technical problems. In liability cases, however, the situation is often far more complex. A software expert witness investigates not only the code but also development processes and technical decision-making.
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In many engineering departments Automotive SPICE is a controversial topic. Developers complain about documentation effort, while OEMs increasingly require structured processes. Is ASPICE unnecessary bureaucracy or an essential framework for modern automotive software development?
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Electrical engineers design the technology behind modern industry. Vehicles, industrial automation, energy systems and medical devices depend on their work. Yet a provocative question remains: are engineers actually paid according to the value they create?
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The role of the engineer is undergoing a fundamental transformation. Traditional disciplines are losing dominance while software, systems and artificial intelligence are becoming central to modern engineering.
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Germany has been discussing an engineering talent shortage for years. At the same time, many qualified engineers are searching for new opportunities. This article explores why this contradiction exists and how recruiting practices influence the situation.
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Since Automotive SPICE 4.0, the term Machine Learning has appeared in discussions around engineering processes. But what does it actually mean in practice? Is it about AI inside vehicles or about how development processes must evolve? This article explores the real intention behind ASPICE Machine Learning.
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Starting in 2027 the revised EU Product Liability Directive will significantly expand liability for software, AI and digital products. For company executives this means that software failures may increasingly become legal liability cases.
Continue reading →If a topic is relevant to your project, organization or development environment, we would be glad to discuss it with you. DiNC-POSiTiVE combines technical understanding with experience in quality, engineering, recruiting and project delivery.
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