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Comparing Two Class Composition Approaches

  • Conference paper
Evaluation of Novel Approaches to Software Engineering (ENASE 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 417))

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Abstract

The presence of code replication can be a consequence of a lack in the composition mechanisms where classes are insufficient to reuse the code that is replicated. To extend the reuse of pieces of code some proposals have been made that try to compose classes using those pieces of code. In this paper we compare two of those approaches: Traits and Roles. We compare their compositions mechanisms and how we can use them to reduce code replication. To study the extent to which they reduce code replication we conducted a case study using the JHotDraw framework where we detect and remove code replication using each technique. Results from the case study show that roles have an advantage over traits, as they are capable of removing more code replication.

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Author information

Authors and Affiliations

  1. Escola Superior de Tecnologia, Instituto Politécnico de Castelo Branco, Av. do Empresário, Castelo Branco, Portugal

    Fernando Barbosa

  2. INESC TEC and Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, Porto, Portugal

    Ademar Aguiar

Authors
  1. Fernando Barbosa
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  2. Ademar Aguiar
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Editor information

Editors and Affiliations

  1. INSTICC and IPS, Estefanilha, Setúbal, Portugal

    Joaquim Filipe

  2. Department of Computing, Macquarie University, 2109,, Sydney, NSW, Australia

    Leszek A. Maciaszek

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Barbosa, F., Aguiar, A. (2013). Comparing Two Class Composition Approaches. In: Filipe, J., Maciaszek, L.A. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2013. Communications in Computer and Information Science, vol 417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54092-9_7

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  • DOI: https://doi.org/10.1007/978-3-642-54092-9_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54091-2

  • Online ISBN: 978-3-642-54092-9

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