Natural Language-Oriented Programming (NLOP): Towards Democratizing Software Creation
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Abstract (arXiv)
As generative Artificial Intelligence (AI) technologies evolve, they offer unprecedented potential to automate and enhance various tasks, including coding. Natural Language-Oriented Programming (NLOP), a vision introduced in this paper, harnesses this potential by allowing developers to articulate software requirements and logic in their natural language, thereby democratizing software creation. This approach streamlines the development process and significantly lowers the barrier to entry for software engineering, making it feasible for non-experts to contribute effectively to software projects. By simplifying the transition from concept to code, NLOP can accelerate development cycles, enhance collaborative efforts, and reduce misunderstandings in requirement specifications. This paper reviews various programming models, assesses their contributions and limitations, and highlights that natural language will be the new programming language. Through this comparison, we illustrate how NLOP stands to transform the landscape of software engineering by fostering greater inclusivity and innovation.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 6 of its 15 references that are in the map. First posted on arXiv 8 Jun 2024.
Builds on
6 of 15 references.
References · 6
- 2017Attention Is All You Needcited by 59,932
- 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
- 2023A Survey on Evaluation of Large Language Modelscited by 1,227
- 2017Generative Adversarial Networks: An Overviewcited by 588
- 2023From Copilot to Pilot: Towards AI Supported Software Developmentcited by 14
- 2023ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligencecited by 11
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Citing papers per year: 2025: 2; 2026: 2.
4 papers.
- 2025Vibe Coding as a Reconfiguration of Intent Mediation in Software Development: Definition, Implications, and Research Agendacited by 13
- 2025The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Projectcited by 4
- 2026Agentic Service-Oriented Computing: A Manifesto for the Next Frontier of Service-Oriented Computingcited by 0
- 2026Agentic Synthesis against Counterexample-Supplemented Sketchescited by 0
- 2026Agentic Synthesis against Counterexample-Supplemented Sketches17 Jul 2026
- 2026Agentic Service-Oriented Computing: A Manifesto for the Next Frontier of Service-Oriented Computing14 Jul 2026
- 2025The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project3 Nov 2025
- 2025Vibe Coding as a Reconfiguration of Intent Mediation in Software Development: Definition, Implications, and Research Agenda29 Jul 2025