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.
Research foundation
The GSP™ assessment criteria are derived from peer-reviewed research in Sustainable Software Engineering and Green AI, not from proprietary frameworks or internal opinion. The methodology is continuously informed by academic work published at leading venues including ICSE, CAIN, WIREs, and ACM SIGSOFT. Learn more about the research behind GreenSeal →
