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Identifying Relevant Dimensions for the Quality of Web Mashups: An Empirical Study

  • Tihomir OrehovačkiEmail author
  • Cinzia Cappiello
  • Maristella Matera
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9731)

Abstract

Web mashups available online today are very often characterized by a poor quality. Several researchers justify this aspect by considering the situational, short-living nature of these applications. We instead believe such a low quality is also due to the lack of suitable quality models. This paper presents a quality model that tries to capture the nature of Web mashups by focusing on their component-based nature and the added value that they are required to introduce with respect to their single constituents. A finite set of indicators and attributes was first determined by reviewing the literature. An analysis of data collected from domain experts revealed a relevance of performance variables at different levels of granularity. An empirical study was then carried out to assess which dimensions are the most relevant with respect to the mashup quality as perceived by users.

Keywords

Web mashups Quality evaluation Model validation Relevance identification Empirical study 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Tihomir Orehovački
    • 1
    Email author
  • Cinzia Cappiello
    • 2
  • Maristella Matera
    • 2
  1. 1.Department of Information and Communication TechnologiesJuraj Dobrila University of PulaPulaCroatia
  2. 2.Dipartimento di Elettronica, Informazione e BioingegneriaPolitecnico di MilanoMilanItaly

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