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Automated Composition of Service Mashups Through Software Product Line Engineering

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Software Reuse: Bridging with Social-Awareness (ICSR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9679))

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Abstract

The growing number of online resources, including data and services, has motivated both researchers and practitioners to provide methods and tools for non-expert end-users to create desirable applications by putting these resources together leading to the so called mashups. In this paper, we focus on a class of mashups referred to as service mashups. A service mashup is built from existing services such that the developed service mashup offers added-value through new functionalities. We propose an approach which adopts concepts from software product line engineering and automated AI planning to support the automated composition of service mashups. One of the advantages of our work is that it allows non-experts to build and optimize desired mashups with little knowledge of service composition. We report on the results of the experimentation that we have performed which support the practicality and scalability of our proposed work.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, University of New Brunswick, Fredericton, Canada

    Mahdi Bashari & Weichang Du

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada

    Ebrahim Bagheri

Authors
  1. Mahdi Bashari
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  2. Ebrahim Bagheri
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  3. Weichang Du
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Corresponding author

Correspondence to Mahdi Bashari .

Editor information

Editors and Affiliations

  1. University of Cyprus, Nicosia, Cyprus

    Georgia M. Kapitsaki

  2. Universidade Federal da Bahia, Salvador, Bahia, Brazil

    Eduardo Santana de Almeida

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© 2016 Springer International Publishing Switzerland

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Bashari, M., Bagheri, E., Du, W. (2016). Automated Composition of Service Mashups Through Software Product Line Engineering. In: Kapitsaki, G., Santana de Almeida, E. (eds) Software Reuse: Bridging with Social-Awareness. ICSR 2016. Lecture Notes in Computer Science(), vol 9679. Springer, Cham. https://doi.org/10.1007/978-3-319-35122-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-35122-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-35121-6

  • Online ISBN: 978-3-319-35122-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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