Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
AI Research
arXiv CS.AI·28d ago·5 min read
Reality Is the Final Verifier: On Two Key Gaps in Agentic Software Engineering
TL;DR
A two-gap framework in agentic software engineering highlights the limitations of requirements and models in ensuring acceptable software behavior post-deployment. The proposed assurance-revision loop emphasizes continuous improvement based on real-world evidence.
✦ Why It Matters
Implement a continuous feedback loop to refine software requirements based on real-world deployment evidence.
Key Takeaways
- Recognize the limitations of requirements and models in software engineering.
- Adopt a continuous improvement approach based on real-world evidence.
- Balance human judgment and evaluation costs in software development.
- Focus on narrowing gaps rather than attempting to close them completely.
How It Works
The assurance-revision loop involves using evidence from software deployment to iteratively refine requirements and models. When stakeholders reject the software's behavior, developers analyze the discrepancies and adjust the requirements or evaluation criteria accordingly.
This process ensures that the software evolves in alignment with actual user needs and environmental conditions.