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AI Research
arXiv CS.AI·Jun 19·5 min read
AI4SE and SE4AI Exploration: A Decade Looking Back and Forward
TL;DR
A gap existed in understanding the interplay between artificial intelligence (AI) and software engineering (SE). The exploration of AI4SE (AI for Software Engineering) and SE4AI (Software Engineering for AI) frameworks was conducted to assess their evolution over the past decade.
✦ Why It Matters
Engineers can leverage AI techniques to optimize software development, improving efficiency and quality.
Key Takeaways
- Explore AI techniques to enhance software engineering practices.
- Collaborate with AI researchers for better outcomes.
- Adopt AI methodologies for improved efficiency.
- Focus on integrating AI in software development processes.
Full Summary
Over the past decade, the fields of artificial intelligence (AI) and software engineering (SE) have increasingly intersected, leading to the development of two frameworks: AI4SE and SE4AI. AI4SE focuses on leveraging AI techniques to improve software engineering practices, while SE4AI emphasizes the engineering of AI systems.
The exploration involved a comprehensive review of existing literature, identifying trends, challenges, and opportunities within these domains. Key findings indicate that the integration of AI in SE has led to improved software quality and reduced development time, with studies showing efficiency gains of up to 30%.
Additionally, the research highlighted the need for better collaboration between AI researchers and software engineers to address complex challenges. These insights suggest that adopting AI methodologies can significantly enhance software development processes, making them more adaptive and efficient.