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Analysis of institutional authors

Abrahao, SilviaAuthor

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July 31, 2025
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Article

Software Engineering by and for Humans in an AI Era

Publicated to: ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY. 34 (5): 129- - 2025-06-01 34(5), DOI: 10.1145/3715111

Authors:

Abrahao, S; Grundy, J; Pezzè, M; Storey, MA; Tamburri, DA
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Affiliations

CONSTRUCTOR Inst Technol, Schaffhausen, Switzerland - Author
Monash Univ, Software Syst & Cybersecur, Melbourne, Australia - Author
Tech Univ Eindhoven, Eindhoven, Netherlands - Author
Univ Milano Bicocca, Dipartimento Informat & Comunicaz, Milan, Italy - Author
Univ Politecn Valencia, Dept Comp Sci, Valencia, Spain - Author
Univ Svizzera Italiana, Fac Informat, Lugano, Switzerland - Author
Univ Victoria, Comp Sci, Victoria, BC, Canada - Author
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Abstract

The landscape of software engineering is undergoing a transformative shift driven by advancements in machine learning, Artificial Intelligence (AI), and autonomous systems. This roadmap article explores how these technologies are reshaping the field, positioning humans not only as end users but also as critical components within expansive software ecosystems. We examine the challenges and opportunities arising from this human-centered paradigm, including ethical considerations, fairness, and the intricate interplay between technical and human factors. By recognizing humans at the heart of the software lifecycle-spanning professional engineers, end users, and end user developers-we emphasize the importance of inclusivity, human-aligned workflows, and the seamless integration of AI-augmented socio-technical systems. As software systems evolve to become more intelligent and human-centric, software engineering practices must adapt to this new reality. This article provides a comprehensive examination of this transformation, outlining current trends, key challenges, and opportunities that define the emerging research and practice landscape, and envisioning a future where software engineering and AI work synergistically to place humans at the core of the ecosystem.
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Keywords

Human and social aspectsHybrid workLarge language modelLarge language modelsModeSoftware engineering

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 9/129, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Software Engineering. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-06:

  • Open Alex: 1
  • WoS: 4
  • Scopus: 8
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-06:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 143.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 143 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 5.
  • The number of mentions on the social network X (formerly Twitter): 3 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Australia; Canada; Italy; Netherlands; Switzerland.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Abrahao Gonzales, Silvia Mara) .

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Awards linked to the item

John Grundy is supported by ARC Laureate Fellowship FL190100035. Silvia Abrah & atilde;o is supported by State Research Agency under grant PID2022 140106NB I00 (UCI Adapt) and Generalitat Valenciana under grant CIAICO/2021/303 (AKILA) . Mauro Pezze is supported by the Swiss National Foundation under grant SNSF 200021_215487
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