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arXiv 2305.08093cs.SEcs.AI
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AI助力敏捷开发:一项元分析

AI for Agile development: a Meta-Analysis

University of Gothenburg(哥德堡大学)

Beatriz Cabrero-Daniel

AI总结:

本研究通过系统性文献综述和纵向元分析,探讨了AI与敏捷开发结合在持续集成与交付中的益处、挑战及未来应用,指出需进一步研究其影响并解决实施中的间接挑战。

摘要:

本研究探讨了将人工智能与敏捷软件开发方法相结合所带来的益处与挑战,重点关注如何改进持续集成与持续交付。我们进行了系统性文献综述,并对检索到的研究进行了纵向元分析,以分析人工智能在敏捷软件开发中的作用及其未来应用。该综述帮助识别出关键挑战,例如对专门的社会技术专业知识的需求。尽管人工智能有望改善软件开发实践,但仍需进一步研究以更好地理解其对开发流程和从业者的影响,并解决与其实施相关的间接挑战。

英文摘要:

This study explores the benefits and challenges of integrating Artificial Intelligence with Agile software development methodologies, focusing on improving continuous integration and delivery. A systematic literature review and longitudinal meta-analysis of the retrieved studies was conducted to analyse the role of Artificial Intelligence and it's future applications within Agile software development. The review helped identify critical challenges, such as the need for specialised socio-technical expertise. While Artificial Intelligence holds promise for improved software development practices, further research is needed to better understand its impact on processes and practitioners, and to address the indirect challenges associated with its implementation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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