From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era

Over the last 10 years, the realm of AI has experienced an explosion of revolutionary breakthroughs, transforming what seemed like a far-off dream into a reality that is now deeply embedded in our everyday lives. AI’s widespread impact is revolutionizing virtually all aspects of human life, and software engineering (SE) is no exception. As we explore this changing landscape, we are faced with questions about what the future holds for SE and how AI will reshape the roles, duties, and methodologies within the field. The introduction of these groundbreaking technologies highlights the inevitable shift toward a new paradigm, suggesting a future where AI’s capabilities may redefine the boundaries of SE, potentially even more than human input. In this article, we aim at outlining the key elements that, based on our expertise, are vital for the smooth integration of AI into SE, all while preserving the intrinsic human creativity that has been the driving force behind the field. First, we provide a brief description of SE and AI evolution. Afterward, we delve into the intricate interplay between AI-driven automation and human innovation, exploring how these two components can work together to advance SE practices to new methods and standards.

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Publication Details

Journal
ACM Transactions on Software Engineering and Methodology
Published
2024-12-23
DOI
https://doi.org/10.1145/3709360
Citations
5
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
3.90
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article

From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era

Camilo Escobar‐Velásquez, Mario Linares‐Vásquez, Antonio Mastropaolo
5 citations
ACM Transactions on Software Engineering and Methodology
Software Engineering Research
3.90
article

From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era

Camilo Escobar‐Velásquez, Mario Linares‐Vásquez, Antonio Mastropaolo
article en
5 citations

Abstract

Over the last 10 years, the realm of AI has experienced an explosion of revolutionary breakthroughs, transforming what seemed like a far-off dream into a reality that is now deeply embedded in our everyday lives. AI’s widespread impact is revolutionizing virtually all aspects of human life, and software engineering (SE) is no exception. As we explore this changing landscape, we are faced with questions about what the future holds for SE and how AI will reshape the roles, duties, and methodologies within the field. The introduction of these groundbreaking technologies highlights the inevitable shift toward a new paradigm, suggesting a future where AI’s capabilities may redefine the boundaries of SE, potentially even more than human input. In this article, we aim at outlining the key elements that, based on our expertise, are vital for the smooth integration of AI into SE, all while preserving the intrinsic human creativity that has been the driving force behind the field. First, we provide a brief description of SE and AI evolution. Afterward, we delve into the intricate interplay between AI-driven automation and human innovation, exploring how these two components can work together to advance SE practices to new methods and standards.

ACM Transactions on Software Engineering and MethodologyVol. 34(5)
Universidad de Los Andes (CO), William & Mary (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Software Engineering Research
3.90
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