Navigating the Future of AI-Augmented Software Engineering: Part 1
AI Summary
- Topic: Navigating the future of AI-augmented software engineering.
- Context:
- Course aims to apply generative AI across various disciplines.
- Focus on software engineering research to improve system economy, reliability, security, and effectiveness.
- Overview:
- Introduction to AI augmentation in software engineering.
- Based on a study by the Software Engineering Institute, funded by NSF and DARPA.
- Study available online, published November 2021.
- Software’s Role:
- Software is increasingly integral to all aspects of life, including hardware development.
- The study co-authored by the speaker aimed to outline a research roadmap for software engineering’s future.
- AI’s Impact on Software Development:
- Current manual software development will evolve into a collaborative process with AI, focusing on intent rather than just programming.
- ChatGPT’s release in November 2022 exemplified the rapid advancement of generative AI.
- Public Perception:
- Concerns about AI’s potential negative impact have escalated, but the speaker believes it’s not the end of the world.
- Study’s Focus Areas:
- Six research areas identified, with a focus on two related to AI augmentation:
- AI-augmented software development: Using AI tools in building systems.
- Engineering AI-enabled software systems: Building systems that operate using AI.
- AI Augmentation Taxonomy:
- Two dimensions of AI augmentation:
- Degree of AI augmentation in the software development life cycle (SDLC).
- Degree of AI augmentation for system operations.
- Examples of AI Augmentation:
- Conventional systems: Built and operated without AI.
- AI-augmented tools for conventional systems: Using AI for code generation, reviews, and testing.
- AI-augmented system operations with conventional development: Recommendation engines using machine learning.
- AI-augmented systems built using AI techniques: Self-driving cars with AI-driven DevOps.
- Conclusion:
- The presentation serves as an introduction to the landscape of AI-augmented software engineering.