An Approach for Web Applications Test Data Generation Based on Analyzing Client Side User Input Fields
Samer Hanna, Hayat Jaber · 2019
Since it is time consuming to manually generate test data for Web applications, automating this task is of great important for both practitioners and researchers in this domain. To achieve this goal, the research in this paper depends on an ontology that categorizes Web applications inputs according to input types such as number, text, and date. This research presents rules for Test Data Generation for Web Applications (TDGWA) based on the input categories specified by the ontology. Following the approach in this paper, Web applications testers will need shorter time to accomplish the task of TDGWA. The approach had successfully been used to generate test data for different experimental and real-life Web applications.