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Analysis of institutional authors

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October 11, 2024
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Bringing Software Engineering Discipline to the Development of AI-enabled Systems

Publicated to: IEEE SOFTWARE. 41 (5): 79-82 - 2024-01-01 41(5), DOI: 10.1109/MS.2024.3408388

Authors:

Staron, Miroslaw ; Abrahao Gonzales, Silvia Mara; Lewis, Grace ; Honnenahalli, Chetan
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Affiliations

Carnegie Mellon Software Engn Inst SEI, Tact & AI Enabled Syst TAS Initiat - Author
Meta - Author
Univ Aquila, Software Engn - Author
Univ Gothenburg - Author
Univ Politecn Valencia, Dept Comp Syst & Computat - Author
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Abstract

Engineering AI Software systems is starting to evolve from the pure development of machine learning (ML) models to a more structured discipline that treats ML components as part of much larger software systems. As such, more structured principles are required for their development, such as established design principles, established development models, and safeguards for deployed ML models. This column focuses on papers presented at the Third International Conference on AI Engineering-Software Engineering for AI (CAIN 2024). The selected papers reflect the current development of the field of AI systems engineering and AI software development, taking it to the next level of maturity. Feedback or suggestions are welcome. In addition, if you try or adopt any of the practices included in the column, please send us and the authors of the paper(s) a note about your experiences.
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Keywords

Artificial intelligenceMachine learningModelingSoftware development managementSoftware engineeringSoftware systems

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE SOFTWARE 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, 2024 there are still no calculated indicators, but in 2023, it was in position 30/129, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Software Engineering.

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 2026-04-02:

  • WoS: 1
  • Scopus: 2
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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 2026-04-02:

  • 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: 7.
  • 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: 6 (PlumX).
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Italy; Sweden; United States of America.

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