WorkDifferentWithAI.com Academic Paper Alert!
Written by David Lo
Category: AI for IT
Article Section: AI-assisted programming
Publication Date: 2023-10-04
SEO Description: “Exploring AI’s role in redefining the future of software engineering and development.”
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Lo, David.
Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps. arXiv:2309.04142, arXiv, 4 Oct. 2023,
http://arxiv.org/abs/2309.04142.
Claude Generated Paper Summary
Here are the key points from the paper:
- The paper provides a brief history of AI for Software Engineering (AI4SE), highlighting 3 major waves: availability of big software engineering data, incorporation of deep learning, and use of large language models.
- It discusses 2 major challenges for AI4SE: need for trustworthy AI4SE solutions that software practitioners can rely on, and need for AI4SE solutions to synergize well with practitioners.
- It paints a vision for the future where AI4SE solutions evolve from tools into autonomous, responsible, intelligent agents that can collaborate symbiotically with practitioners as part of Software Engineering 2.0.
- It provides a roadmap with 9 strategies to achieve trustworthy AI4SE, like designing efficacy metrics aligned with trust factors, building smarter AI4SE solutions, and enhancing transparency.
- It also outlines a roadmap with 6 strategies for synergistic AI4SE, such as characterizing the strengths/weaknesses of practitioners vs AI4SE solutions, understanding practitioners’ workflows, and improving communication capabilities.
- The paper issues a call to action for the AI4SE community to make further progress, realizing the roadmaps to usher in Software Engineering 2.0 where humans and AI agents can collaboratively build software in new ways.
In summary, the paper provides a comprehensive overview of AI4SE, highlighting key challenges and opportunities, laying out a vision, and proposing strategic roadmaps to guide future research toward realizing that vision of Software Engineering 2.0.
Keywords
Trustworthy Artificial Intelligence, Synergistic Artificial Intelligence, Software Engineering, Vision, Roadmaps
Author’s Abstract
For decades, much software engineering research has been dedicated to devising automated solutions aimed at enhancing developer productivity and elevating software quality. The past two decades have witnessed an unparalleled surge in the development of intelligent solutions tailored for software engineering tasks. This momentum established the Artificial Intelligence for Software Engineering (AI4SE) area, which has swiftly become one of the most active and popular areas within the software engineering field. This Future of Software Engineering (FoSE) paper navigates through several focal points. It commences with a succinct introduction and history of AI4SE. Thereafter, it underscores the core challenges inherent to AI4SE, particularly highlighting the need to realize trustworthy and synergistic AI4SE. Progressing, the paper paints a vision for the potential leaps achievable if AI4SE’s key challenges are surmounted, suggesting a transition towards Software Engineering 2.0. Two strategic roadmaps are then laid out: one centered on realizing trustworthy AI4SE, and the other on fostering synergistic AI4SE. While this paper may not serve as a conclusive guide, its intent is to catalyze further progress. The ultimate aspiration is to position AI4SE as a linchpin in redefining the horizons of software engineering, propelling us toward Software Engineering 2.0.
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