Validation ensures quality and compliance - especially in the development of safety-critical automotive software. Anyone supplying software in the automotive industry must work in compliance with Automotive SPICE (ASPICE) - and also meet the increasing requirements for Software Quality Improvement Leaders (SQIL).
With a well-founded validation strategy, you create the basis for proof of maturity, supplier approvals and successful assessments - all in the interests of efficient development processes and standard-compliant software quality.
Eine strukturierte Softwarevalidierung zahlt sich in jeder Projektphase aus: Sie erhöht die Produktqualität, reduziert Risiken und schafft die Voraussetzung für eine erfolgreiche Zusammenarbeit mit OEMs und Tier-1s.
Ihre Vorteile im Überblick:
Nachweislich konforme EntwicklungsprozesseEntspricht den Anforderungen aus Automotive SPICE (z. B. SWE.1–SWE.6, SUP.1–SUP.8)
Verbesserung des ReifegradsGrundlage für Capability Level 2 oder 3 – oft gefordert von OEMs
Unterstützung der SQIL-RolleGezielte Maßnahmen zur kontinuierlichen Prozessverbesserung
Integration in bestehende EntwicklungsmodelleKompatibel mit V-Modell, agilem Vorgehen oder hybridem Setup
Effizienz & VerlässlichkeitWeniger Nacharbeiten, weniger Rückfragen – schneller zur Freigabe
Many companies struggle with the implementation of ASPICE specifications and the role of SQIL - especially when there is a lack of clear structures, tools or experience. It is often unclear how processes can be validated, documented and verified in assessments.
Unclear requirements for validation & verification
Lack of integration into existing development processes
Incomplete documentation and traceability
Time pressure before OEM assessments or SQIL tests
We support you in making your software development processes validation-proof, transparent and ASPICE-compliant - tailored to your projects, tools and teams.
Validation planning along the ASPICE process groups (SWE, SUP, MAN etc.)
Traceability from requirements to tests to delivery
Templates & checklists for all relevant validation steps
Training & coaching for developers, QA and SQIL managers
Review & validation before assessments (GAP analysis, maturity assessment)
Modern vehicle software increasingly contains AI-based functions, such as neural networks for object recognition and advanced driver assistance systems (ADAS). However, these components cannot be verified using traditional code coverage methods because their behavior is not deterministic and their decision-making processes are difficult for auditors to understand.
For approval purposes, ISO 26262 alone is no longer sufficient. ISO 21448 (SOTIF) supplements ISO 26262, requiring scenario-based validation and proof of safe behavior, even in unknown situations. ISO/PAS 8800 establishes a specific standard for AI in road vehicles.
Learn how to secure AI systems in a standards-compliant, audit-proof, lifecycle-accompanying manner here: Quality assurance for AI systems
Validation of software processes along the requirements of Automotive SPICE - including documented evidence, traceability and test strategies.
Many OEMs require at least Capability Level 2 or 3 - no cooperation without ASPICE proof.
SQIL steht für „Software Quality Improvement Leader“ – eine vom OEM definierte Rolle zur Sicherstellung kontinuierlicher Prozessverbesserung und Einhaltung von Qualitätsstandards.
With validation strategies, templates, workshops, review services and assessment simulations - individually tailored to your organization.
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