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Analysis of institutional authors

Cetina, CarlosAuthor

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August 11, 2025
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Proceedings Paper
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Feature Location Through the Combination of Run-Time Architecture Models and Information Retrieval

Publicated to: Lecture Notes in Computer Science. 9959 180-195 - 2016-01-01 9959(), DOI: 10.1007/978-3-319-46613-2_12

Authors:

Arcega, Lorena; Font, Jaime; Haugen, Oystein; Cetina, Carlos
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Affiliations

Ostfold Univ Coll, Dept Informat Technol, Halden, Norway - Author
Univ Oslo, Dept Informat, Oslo, Norway - Author
Univ San Jorge, SVIT Res Grp, Zaragoza, Spain - Author
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Abstract

Eighty percent of the lifetime of a system is spent on maintenance activities. Feature location is one of the most important and common activities performed by developers during software maintenance. This work presents our approach for performing feature location by leveraging the use of architecture models at run-time. Specifically, the execution information is collected in the architecture model at run-time. Then, our approach performs an Information Retrieval technique at the model level. We have evaluated our approach in a Smart Hotel with its architecture model at run-time. We compared our architecture-model-based approach with a source-code-based approach. The rankings produced by the approaches indicate that since models are on a higher abstraction level than source code, they provide more accurate results. Our architecture-model-based approach ranks the relevant elements in the top ten positions of the ranking in 84% of the cases; in the top positions in the ranking of the source-code-based approach, there are false positives associated with some programming patterns and true positives are spread between positions 12 and 100.
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Keywords

Arquitecture modelFeature locationInformation retrievalModels@run-timeReverse engineerin

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

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 2026-04-03:

  • WoS: 3
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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 2026-04-03:

  • 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: 11.
  • 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: 11 (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: 10.
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Norway.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (Cetina Englada, Carlos).

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