Empirical Validation of a Web Fault Taxonomy and its usage for Fault Seeding

Abstract

The increasing demand for reliable Web applications gives a central role to Web testing. Most of the existing works are focused on the definition of novel testing techniques, specifically tailored to the Web. However, no attempt was carried out so far to understand the specific nature of Web faults. This is of fundamental importance to assess the effectiveness of the proposed Web testing techniques. In this paper, we describe the process followed in the construction of a Web fault taxonomy. After the initial, top- down construction, the taxonomy was subjected to four iterations of empirical validation aimed at refining it and at understanding its effectiveness in bug classification. The final taxonomy is publicly available for consultation and editing on a Wiki page. Testers can use it in the definition of test cases that target specific classes of Web faults. Researchers can use it to build fault seeding tools that inject artificial faults which resemble the real ones.