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Web Engineering

By Emilia Mendes , Nile Mosley

  • eBook Price: $79.95
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  • ISBN13: 978-3-5402-8196-2
  • 460 Pages
  • User Level: Students
  • Publication Date: March 28, 2006
  • Available eBook Formats: PDF

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Full Description
Since its original inception back in 1989 the Web has changed into an environment where Web applications range from small-scale information dissemination applications, often developed by non-IT professionals, to large-scale, commercial, enterprise-planning and scheduling applications, developed by multidisciplinary teams of people with diverse skills and backgrounds and using cutting-edge, diverse technologies. As an engineering discipline, Web engineering must provide principles, methodologies and frameworks to help Web professionals and researchers develop applications and manage projects effectively. Mendes and Mosley have selected experts from numerous areas in Web engineering, who contribute chapters where important concepts are presented and then detailed using real industrial case studies. After an introduction into the discipline itself and its intricacies, the contributions range from Web effort estimation, productivity benchmarking and conceptual and model-based application development methodologies, to other important principles such as usability, reliability, testing, process improvement and quality measurement. This is the first book that looks at Web engineering from a measurement perspective. The result is a self-containing, comprehensive overview detailing the role of measurement and metrics within the context of Web engineering. This book is ideal for professionals and researchers who want to know how to use sound principles for the effective management of Web projects, as well as for courses at an advanced undergraduate or graduate level.
Table of Contents

Table of Contents

  1. The Need for Web Engineering: An Introduction.
  2. Web Effort Estimation.
  3. Web Productivity Measurement and Benchmarking.
  4. Web Quality.
  5. Web Usability: Principles and Evaluation Methods.
  6. Web System Reliability and Performance: Design and Testing Methodologies.
  7. Conceptual Modelling of Web Applications: The OOWS Approach.
  8. Model
  9. Based Web Application Development.
  10. W2000: A Modeling Notation for Complex Web Applications.
  11. What You Need to Know About Statistics.

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