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Web Engineering and Metrics

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New Directions in Web Data Management 1

Part of the book series: Studies in Computational Intelligence ((SCI,volume 331))

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Abstract

The objective of this chapter is three-fold. First, it provides an introduction to Web Engineering, and discusses the need for empirical investigations in this area. Second, it defines concepts such as metrics and measurement, and details the types of quantitative metrics that can be gathered when carrying out empirical investigations in Web Engineering. Third, it presents the three main types of empirical investigations – surveys, case studies, and formal experiments.

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Author information

Authors and Affiliations

  1. Computer Science Department, The University of Auckland, 92019, Auckland, New Zealand

    Emilia Mendes

Authors
  1. Emilia Mendes
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Editor information

Editors and Affiliations

  1. Department of Informatics, Aristotle University, 54124, Thessaloniki, Greece

    Athena Vakali

  2. School of Electrical and Information Engineering, University of South Australia, Adelaide Mawson Lakes Campus, 5095, South Australia, SA, Australia

    Lakhmi C. Jain

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Mendes, E. (2011). Web Engineering and Metrics. In: Vakali, A., Jain, L.C. (eds) New Directions in Web Data Management 1. Studies in Computational Intelligence, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17551-0_3

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  • DOI: https://doi.org/10.1007/978-3-642-17551-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17550-3

  • Online ISBN: 978-3-642-17551-0

  • eBook Packages: EngineeringEngineering (R0)

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