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SOSIS focuses on optimizing Software Product Line (SPL) management in safety- and mission-critical systems throughout their entire lifecycle.
SOSIS
A major challenge is handling SPL variability across the lifecycle. SOSIS aims to improve variability management and reduce certification efforts.
DISSEMINATION
The project applies model-based techniques for requirements engineering, variant development, and management to offer an integrated solution.
CONSORTIUM
SOSIS introduces AI/ML-based testing and deployment methods, providing a European industry platform for experimentation and knowledge transfer.
Enhance Efficiency of Software Product Line Engineering
SOSIS
The project aims to improve the efficiency of developing and maintaining software product lines (SPLs) in safety- and mission-critical systems by enabling systematic reuse of artifacts across requirements, implementation, testing, and certification phases. This approach reduces time-to-market and enhances engineering agility in highly regulated domains.
Support Model-Based and AI-Driven Engineering
SOSIS
By integrating model-based development with AI/ML techniques, the project introduces intelligent tools for requirements analysis, variant modeling, test optimization, and certification artifact reuse. These innovations support automated and traceable SPL life-cycle management, increasing development accuracy and reducing manual overhead.
Facilitate Data-Driven Certification and Reuse
SOSIS
SOSIS establishes variability-aware repositories that leverage operational data, test logs, and system artifacts to inform decision-making throughout the SPL life-cycle. This supports early fault detection, efficient reuse of certification components, and the creation of feedback loops for continuous improvement in safety- and mission-critical environments.
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