Abstract
Reliable classification of Web Application User Interfaces for the aim of extracting specific data for each class of interfaces is a fundamental task in migration, testing and reverse engineering processes involving existing Web Applications. A feasible and reliable classification approach is the one that exploits combinations of Web pages structural features for discriminating the page equivalence class. This paper presents a technique based on an iterative process that allows classification rules composed of Web pages structural features to be deduced in dynamically generated web pages. The process is supported by a tool that partially automates the process steps. In order to assess the process feasibility and cost effectiveness, a case study addressing the problem of generating classification rules for a real Web application has been carried out.
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Amalfitano, D., Fasolino, A.R., Tramontana, P. (2009). A Tool-Supported Process for Reliable Classification of Web Pages. In: Ślęzak, D., Kim, Th., Kiumi, A., Jiang, T., Verner, J., Abrahão, S. (eds) Advances in Software Engineering. ASEA 2009. Communications in Computer and Information Science, vol 59. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10619-4_41
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DOI: https://doi.org/10.1007/978-3-642-10619-4_41
Publisher Name: Springer, Berlin, Heidelberg
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