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New Application of the Requirements Elicitation Process for the Construction of Intelligent System-Based Predictive Models

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Computer Science – CACIC 2019 (CACIC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1184))

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Abstract

Decision-making is an essential process in the life of organizations and is particularly important for managerial positions in charge of making decisions on resources allocation. These decisions must be based on predictions about time, effort and/or risks involved in their tasks. Currently, this situation is exacerbated by the complex environment surrounding the organizations, which makes them act beyond their traditional management systems incorporating new mechanisms such as those provided by Artificial Intelligence, leading to the development of an Intelligent Predictive Model. In this context, this work proposes a new case study where the proposed process is applied for the elicitation of the necessary requirements for the implementation an Intelligent System-based Predictive Model, in this case, one oriented to the construction of an Artificial Neural Network.

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Authors and Affiliations

  1. Information System Methodologies Research Group, National Technological University of Buenos Aires, Buenos Aires, Argentina

    Cinthia Vegega, Pablo Pytel & María Florencia Pollo-Cattaneo

Authors
  1. Cinthia Vegega
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  2. Pablo Pytel
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  3. María Florencia Pollo-Cattaneo
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Corresponding author

Correspondence to Cinthia Vegega .

Editor information

Editors and Affiliations

  1. RedUNCI Chair, National University of La Plata, La Plata, Argentina

    Patricia Pesado

  2. National University of Río Cuarto, Río Cuarto, Argentina

    Marcelo Arroyo

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Vegega, C., Pytel, P., Pollo-Cattaneo, M.F. (2020). New Application of the Requirements Elicitation Process for the Construction of Intelligent System-Based Predictive Models. In: Pesado, P., Arroyo, M. (eds) Computer Science – CACIC 2019. CACIC 2019. Communications in Computer and Information Science, vol 1184. Springer, Cham. https://doi.org/10.1007/978-3-030-48325-8_20

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  • DOI: https://doi.org/10.1007/978-3-030-48325-8_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-48324-1

  • Online ISBN: 978-3-030-48325-8

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