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An Approach to Cluster Scenarios According to Their Similarity Using Natural Language Processing

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Human-Computer Interaction (HCI-COLLAB 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1877))

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Abstract

Scenarios are ideal to capture knowledge in human computer interface software engineering. Requirements engineering is a fundamental part of software development. If errors appear in this stage, it will be expensive to correct them in further stages. The domain experts and the developer team belong to different worlds. This generates a gap in communication between them. Because of it, it is important to use artifacts in natural language to communicate both sides. One simpler approach to specify requirements is Scenarios. They are widely used artifacts that generally describe the dynamics (tasks, activities) to be carried out in some specific situation. Generally, scenarios promote communication and participation from both sides. This can cause some problems. One of these problems is redundancy, that occurs when two stakeholders describe the same situation in different artifacts. This paper proposes an approach to analyze a set of scenarios by grouping them according to their similarity. The similarity is calculated through a series of comparisons of the different attributes of the scenario. This paper also describes a prototype implementing this method. Finally, the paper shows the result of a preliminary evaluation with results about the applicability of the approach.

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Authors and Affiliations

  1. Lifia, Fac. de Informática, UNLP, La Plata, Bs As, Argentina

    Juliana Delle Ville, Diego Torres, Alejandro Fernández & Leandro Antonelli

Authors
  1. Juliana Delle Ville
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  2. Diego Torres
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  3. Alejandro Fernández
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  4. Leandro Antonelli
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Corresponding author

Correspondence to Juliana Delle Ville .

Editor information

Editors and Affiliations

  1. Universidad Nacional Abierta y a Distancia - UNAD, Popayán Cauca, Colombia

    Pablo H. Ruiz

  2. Universidad del Cauca, Popayan Cauca, Colombia

    Vanessa Agredo-Delgado

  3. Universidad Nacional de La Matanza, Buenos Aires, Argentina

    Alicia Mon

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Delle Ville, J., Torres, D., Fernández, A., Antonelli, L. (2024). An Approach to Cluster Scenarios According to Their Similarity Using Natural Language Processing. In: Ruiz, P.H., Agredo-Delgado, V., Mon, A. (eds) Human-Computer Interaction. HCI-COLLAB 2023. Communications in Computer and Information Science, vol 1877. Springer, Cham. https://doi.org/10.1007/978-3-031-57982-0_5

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