Certification Methodology
GSP™ evaluates whether sustainable software and AI practices are systematically adopted within an organization.
The methodology is based on established research in:
- Sustainable Software Engineering
- Green AI
- Performance and energy profiling
- Organizational knowledge transfer
Core assessment areas
1. Governance & Culture
- Sustainability training for engineers
- Clear ownership of sustainability topics
- Internal guidelines and policies
2. Measurement & Profiling
- Resource and energy profiling of services
- Monitoring at system and component level
- Cost and energy awareness in cloud environments
3. Engineering Practices
- Performance-aware design decisions
- Efficient use of compute, memory, and storage
- Responsible AI model selection and deployment
4. Knowledge Sharing
- Internal dissemination of best practices
- Documented use cases of efficiency improvements
- Continuous learning and improvement
Evidence-based approach
Certification is granted based on:
- Documented processes
- Technical artifacts
- Measurement results
- Provided evidence (depending on certification level)
GSP™ does not certify products. It certifies organizational practices.
