共引未来：生成式人工智能如何改变软件工程

IF 4.3 2区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information and Software Technology Pub Date : 2025-04-04 DOI:10.1016/j.infsof.2025.107751

Leonardo Banh , Florian Holldack , Gero Strobel

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引用次数: 0

摘要

随着技术的快速进步，人工智能（AI）已经成为各个领域不可或缺的一部分。ChatGPT或GitHub Copilot等生成式人工智能（GenAI）工具凭借其独特的内容创建能力，通过提供优化软件开发流程的新方法，在软件工程领域具有变革性潜力。然而，集成到当前的过程中也提出了挑战，需要社会技术分析来有效地实现GenAI的潜力。本研究调查了GenAI如何在软件工程领域中发挥作用，探索其行动潜力和挑战，以帮助企业和开发人员在其工作流程中优化该技术的采用。方法对18位从事软件工程相关工作的专业人士进行了定性研究，并收集了专家访谈的数据。数据分析遵循Grounded Theory的原则来分析GenAI如何支持开发人员的目标，与组织实践保持一致，并促进与现有例程的集成。结果：这些发现证明了GenAI在软件工程中提高开发团队生产力的几个机会。然而，还确定了几个关键的障碍，这些障碍应该在成功的集成中得到考虑。我们在软件工程中采用GenAI的基础概念框架中综合了结果。本研究通过提供一个有助于理解GenAI的机遇和挑战的概念框架，对软件工程中GenAI的论述做出了贡献。它为企业和开发人员提供了增强GenAI集成的实用指南，并为其在软件开发中的影响的未来研究奠定了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Copiloting the future: How generative AI transforms Software Engineering

Context

With rapid technological advancements, artificial intelligence (AI) has become integral to various sectors. Generative AI (GenAI) tools like ChatGPT or GitHub Copilot, with their unique content creation capabilities, pose transformative potential in Software Engineering by offering new ways to optimize software development processes. However, the integration into current processes also presents challenges that require a sociotechnical analysis to effectively realize GenAI's potential.

Objective

This study investigates how GenAI can be leveraged in the domain of Software Engineering, exploring its action potentials and challenges to help businesses and developers optimize the adoption of this technology in their workflows.

Method

We performed a qualitative study and collected data from expert interviews with eighteen professionals working in Software Engineering-related roles. Data analysis followed the principles of Grounded Theory to analyze how GenAI supports developers' goals, aligns with organizational practices, and facilitates integration into existing routines.

Results

The findings demonstrate several opportunities of GenAI in Software Engineering to increase productivity in development teams. However, several key barriers were also identified, that should be accounted for in successful integrations. We synthesize the results in a grounded conceptual framework for GenAI adoption in Software Engineering.

Conclusions

This study contributes to the discourse on GenAI in Software Engineering by providing a conceptual framework that aids in understanding the opportunities and challenges of GenAI. It offers practical guidelines for businesses and developers to enhance GenAI integration and lays the groundwork for future research on its impact in software development.

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来源期刊

Information and Software Technology 工程技术-计算机：软件工程

CiteScore

9.10

自引率

7.70%

发文量

164

审稿时长

9.6 weeks

期刊介绍： Information and Software Technology is the international archival journal focusing on research and experience that contributes to the improvement of software development practices. The journal''s scope includes methods and techniques to better engineer software and manage its development. Articles submitted for review should have a clear component of software engineering or address ways to improve the engineering and management of software development. Areas covered by the journal include: • Software management, quality and metrics, • Software processes, • Software architecture, modelling, specification, design and programming • Functional and non-functional software requirements • Software testing and verification & validation • Empirical studies of all aspects of engineering and managing software development Short Communications is a new section dedicated to short papers addressing new ideas, controversial opinions, "Negative" results and much more. Read the Guide for authors for more information. The journal encourages and welcomes submissions of systematic literature studies (reviews and maps) within the scope of the journal. Information and Software Technology is the premiere outlet for systematic literature studies in software engineering.