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A Fuzzy-Based Approach for the Multilevel Component Selection Problem

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Hybrid Artificial Intelligent Systems (HAIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9648))

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Abstract

Component-based Software Engineering uses components to construct systems, being a means to increase productivity by promoting software reuse. This work deals with the Component Selection Problem in a multilevel system structure. A fuzzy-based approach is used to construct the required system starting from the set of requirements, using both functional and non-functional requirements. For each selection step, the fuzzy clustering approach groups similar components in order to select the best candidate component that provide the needed required interfaces. To evaluate our approach, we discuss a case study for building a Reservation System. We compare the fuzzy-based approach with an evolutionary-based approach using a metric that assess the overall architecture of the obtained systems, from the coupling and cohesion perspective.

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Authors and Affiliations

  1. Computer Science Department, Babes-Bolyai University, 1, M. Kogalniceanu, Cluj-Napoca, Romania

    Andreea Vescan & Camelia Şerban

Authors
  1. Andreea Vescan
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  2. Camelia Şerban
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Correspondence to Andreea Vescan .

Editor information

Editors and Affiliations

  1. Universidad Pablo de Olavide, Sevilla, Spain

    Francisco Martínez-Álvarez

  2. Universidad Pablo de Olavide, Sevilla, Spain

    Alicia Troncoso

  3. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  4. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Vescan, A., Şerban, C. (2016). A Fuzzy-Based Approach for the Multilevel Component Selection Problem. In: Martínez-Álvarez, F., Troncoso, A., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2016. Lecture Notes in Computer Science(), vol 9648. Springer, Cham. https://doi.org/10.1007/978-3-319-32034-2_39

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  • DOI: https://doi.org/10.1007/978-3-319-32034-2_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32033-5

  • Online ISBN: 978-3-319-32034-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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