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Published in:
Applying Incremental Model Slicing to Product-Line Regression Testing Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Automated Composition of Service Mashups Through Software Product Line Engineering

Authors : Mahdi Bashari, Ebrahim Bagheri, Weichang Du

Published in: Software Reuse: Bridging with Social-Awareness

Publisher: Springer International Publishing

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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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previous chapter Applying Incremental Model Slicing to Product-Line Regression Testing
next chapter Feature Location in Model-Based Software Product Lines Through a Genetic Algorithm
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Metadata
Title
Automated Composition of Service Mashups Through Software Product Line Engineering
Authors
Mahdi Bashari
Ebrahim Bagheri
Weichang Du
Copyright Year
2016
Book
Software Reuse: Bridging with Social-Awareness

Print ISBN: 978-3-319-35121-6

Electronic ISBN: 978-3-319-35122-3

Copyright Year: 2016

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

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