Name
Abstract | ||
|---|---|---|
In recent years, the increased complexity of Web applications gives researchers an enormous challenge in ensuring their reliability. A statistical testing approach has been proved to be appropriate to test Web applications and to estimate their reliability. Based on a Markov usage model built from user sessions, testers can generate abstract test cases randomly. In order to execute the test cases, researchers proposed an approach to building a data model from user sessions to provide test data for abstract test cases. However, just building a data model from all the user sessions may cause unauthorized access to restricted pages by testers. In this paper, we propose a concept analysis based approach to statistical Web testing and present a tool to support our approach. We have designed three algorithms to implement our concept analysis based approach that can provide the concrete test data for abstract test cases. In addition, a case study is introduced to demonstrate the effectiveness of our approach to statistical Web testing. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-39698-4_7 | Theories of Programming and Formal Methods |
Keywords | Field | DocType |
user session,test data,statistical web testing,abstract test case,data model,concept analysis,web application,concrete test data,statistical testing approach,test case | Data mining,Test Management Approach,Computer science,Model-based testing,Test data,Test case,Web application,Web testing,Test strategy,Statistical hypothesis testing | Conference |
Citations | PageRank | References |
1 | 0.36 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao Chen | 1 | 2032 | 185.26 |
| Huaikou Miao | 2 | 451 | 68.03 |
| Yihai Chen | 3 | 16 | 3.41 |