Requirements are All You Need: The Final Frontier for End-User Software Engineering
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Abstract (arXiv)
What if end users could own the software development lifecycle from conception to deployment using only requirements expressed in language, images, video or audio? We explore this idea, building on the capabilities that generative Artificial Intelligence brings to software generation and maintenance techniques. How could designing software in this way better serve end users? What are the implications of this process for the future of end-user software engineering and the software development lifecycle? We discuss the research needed to bridge the gap between where we are today and these imagined systems of the future.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 May 2024.
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Citing papers per year: 2024: 1; 2025: 4.
5 papers.
- 2025TableTalk: Scaffolding Spreadsheet Development with a Language Agentcited by 5
- 2025Code Roulette: How Prompt Variability Affects LLM Code Generationcited by 4
- 2025Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scalecited by 3
- 2024The Systems Engineering Approach in Times of Large Language Modelscited by 1
- 2025A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standardscited by 1
- 2025Code Roulette: How Prompt Variability Affects LLM Code Generation11 Jun 2025
- 2025A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards19 May 2025
- 2025Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale12 Apr 2025
- 2025TableTalk: Scaffolding Spreadsheet Development with a Language Agent13 Feb 2025
- 2024The Systems Engineering Approach in Times of Large Language Models13 Nov 2024