Creativity, Generative AI, and Software Development: A Research Agenda

• URL: http://arxiv.org/abs/2406.01966v1
• Date: Tue, 4 Jun 2024 04:51:59 GMT
• Title: Creativity, Generative AI, and Software Development: A Research Agenda
• Authors: Victoria Jackson, Bogdan Vasilescu, Daniel Russo, Paul Ralph, Maliheh Izadi, Rafael Prikladnicki, Sarah D'Angelo, Sarah Inman, Anielle Lisboa, Andre van der Hoek,
• Abstract summary: This paper uses the McLuhan tetrad alongside scenarios of how GenAI may disrupt software development more broadly, to identify potential impacts GenAI may have on creativity within software development. The impacts are discussed along with a future research agenda comprising six connected themes that consider how individual capabilities, team capabilities, the product, unintended consequences, society, and human aspects can be affected.
• Score: 20.18144138052132
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Creativity has always been considered a major differentiator to separate the good from the great, and we believe the importance of creativity for software development will only increase as GenAI becomes embedded in developer tool-chains and working practices. This paper uses the McLuhan tetrad alongside scenarios of how GenAI may disrupt software development more broadly, to identify potential impacts GenAI may have on creativity within software development. The impacts are discussed along with a future research agenda comprising six connected themes that consider how individual capabilities, team capabilities, the product, unintended consequences, society, and human aspects can be affected.

Related papers

• Impacts of Generative AI on Agile Teams' Productivity: A Multi-Case Longitudinal Study [5.9568322124195845]
  Generative Artificial Intelligence (GenAI) tools represent a paradigm shift in software engineering.<n>This study aims to provide a longitudinal evaluation of GenAI's impact on agile software teams.
  arXiv  Detail & Related papers  (2026-02-14T13:26:16Z)
• The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project [1.2330230885669606]
  GenAI is capable of generating code, identifying bugs, recommending fixes, and supporting quality assurance.<n>The GENIUS project aims to address these challenges by advancing AI integration across all SDLC phases.<n>This vision paper presents a shared perspective on the future of GenAI-driven software engineering.
  arXiv  Detail & Related papers  (2025-11-03T08:56:23Z)
• The Impact of Generative AI on Code Expertise Models: An Exploratory Study [0.0]
  We present an exploratory analysis of how a knowledge model and a Truck Factor algorithm can be affected by GenAI usage.<n>Our findings suggest that as GenAI becomes more integrated into development, the reliability of such metrics may decrease.
  arXiv  Detail & Related papers  (2025-07-10T20:43:08Z)
• A Inteligência Artificial Generativa no Ecossistema Acadêmico: Uma Análise de Aplicações, Desafios e Oportunidades para a Pesquisa, o Ensino e a Divulgação Científica [0.0]
  The rapid and disruptive integration of Generative Artificial Intelligence in higher education is reshaping fundamental academic practices.<n>Main challenges include threats to academic integrity, the risk of algorithmic bias, and the need for robust AI literacy.<n>The future of academia will not be defined by resistance to this technology, but by the ability of institutions and individuals to engage with it critically, ethically, and creatively.
  arXiv  Detail & Related papers  (2025-07-03T18:23:18Z)
• Enterprise Architecture as a Dynamic Capability for Scalable and Sustainable Generative AI adoption: Bridging Innovation and Governance in Large Organisations [55.2480439325792]
  Generative Artificial Intelligence is a powerful new technology with the potential to boost innovation and reshape governance in many industries.<n>However, organisations face major challenges in scaling GenAI, including technology complexity, governance gaps and resource misalignments.<n>This study explores how Enterprise Architecture Management can meet the complex requirements of GenAI adoption within large enterprises.
  arXiv  Detail & Related papers  (2025-05-09T07:41:33Z)
• Student's Use of Generative AI as a Support Tool in an Advanced Web Development Course [0.5371337604556311]
  We analyze the use of GenAI as a support tool for learning, creativity, and productivity in a web development course for undergraduate students. Students used GenAI on different tasks with a reported increase in learning and productivity.
  arXiv  Detail & Related papers  (2025-03-19T20:34:21Z)
• How Developers Interact with AI: A Taxonomy of Human-AI Collaboration in Software Engineering [8.65285948382426]
  We propose a taxonomy of interaction types between developers and AI tools, identifying eleven distinct interaction types. Building on this taxonomy, we outline a research agenda focused on optimizing AI interactions, improving developer control, and addressing trust and usability challenges in AI-assisted development.
  arXiv  Detail & Related papers  (2025-01-15T12:53:49Z)
• Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking [19.713133349166778]
  We asked participants to design advertisements both with and without GenAI support. Expert evaluators rated GenAI-supported designs as more creative and unconventional "weird" Native English speakers experienced reduced relaxation when using AI, whereas designers new to GenAI exhibited gains in divergent thinking.
  arXiv  Detail & Related papers  (2024-10-31T19:23:34Z)
• Future of Artificial Intelligence in Agile Software Development [0.0]
  AI can assist software development managers, software testers, and other team members by leveraging LLMs, GenAI models, and AI agents. AI has the potential to increase efficiency and reduce the risks encountered by the project management team.
  arXiv  Detail & Related papers  (2024-08-01T16:49:50Z)
• Legal Aspects for Software Developers Interested in Generative AI Applications [5.772982243103395]
  Generative Artificial Intelligence (GenAI) has led to new technologies capable of generating high-quality code, natural language, and images. The next step is to integrate GenAI technology into products, a task typically conducted by software developers. This article sheds light on the current state of two such risks: data protection and copyright.
  arXiv  Detail & Related papers  (2024-04-25T14:17:34Z)
• Generative AI Agent for Next-Generation MIMO Design: Fundamentals, Challenges, and Vision [76.4345564864002]
  Next-generation multiple input multiple output (MIMO) is expected to be intelligent and scalable. We propose the concept of the generative AI agent, which is capable of generating tailored and specialized contents. We present two compelling case studies that demonstrate the effectiveness of leveraging the generative AI agent for performance analysis.
  arXiv  Detail & Related papers  (2024-04-13T02:39:36Z)
• Bridging Gaps, Building Futures: Advancing Software Developer Diversity and Inclusion Through Future-Oriented Research [50.545824691484796]
  We present insights from SE researchers and practitioners on challenges and solutions regarding diversity and inclusion in SE. We share potential utopian and dystopian visions of the future and provide future research directions and implications for academia and industry.
  arXiv  Detail & Related papers  (2024-04-10T16:18:11Z)
• In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review [2.6703221234079946]
  The study of in-IDE Human-AI Experience is critical in understanding how these AI tools are transforming the software development process. We conducted a literature review to study the current state of in-IDE Human-AI Experience research.
  arXiv  Detail & Related papers  (2024-01-19T14:55:51Z)
• Can AI Be as Creative as Humans? [84.43873277557852]
  We prove in theory that AI can be as creative as humans under the condition that it can properly fit the data generated by human creators. The debate on AI's creativity is reduced into the question of its ability to fit a sufficient amount of data.
  arXiv  Detail & Related papers  (2024-01-03T08:49:12Z)
• Exploring the intersection of Generative AI and Software Development [0.0]
  The synergy between generative AI and Software Engineering emerges as a transformative frontier. This whitepaper delves into the unexplored realm, elucidating how generative AI techniques can revolutionize software development. It serves as a guide for stakeholders, urging discussions and experiments in the application of generative AI in Software Engineering.
  arXiv  Detail & Related papers  (2023-12-21T19:23:23Z)
• Redefining Relationships in Music [55.478320310047785]
  We argue that AI tools will fundamentally reshape our music culture. People working in this space could decrease the possible negative impacts on the practice, consumption and meaning of music.
  arXiv  Detail & Related papers  (2022-12-13T19:44:32Z)
• Empowered and Embedded: Ethics and Agile Processes [60.63670249088117]
  We argue that ethical considerations need to be embedded into the (agile) software development process. We put emphasis on the possibility to implement ethical deliberations in already existing and well established agile software development processes.
  arXiv  Detail & Related papers  (2021-07-15T11:14:03Z)
• Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
  In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
  arXiv  Detail & Related papers  (2021-06-25T22:31:55Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.