Automatic navigation model extraction for web load testing

Thesis Type: Postgraduate

Institution Of The Thesis: Orta Doğu Teknik Üniversitesi, Graduate School of Informatics, Information Systems, Turkey

Approval Date: 2011


Consultant: AYSU BETİN CAN


Web pages serve a huge number of internet users in nearly every area. An adequate testing is needed to address the problems of web domains for more efficient and accurate services. We present an automated tool to test web applications against execution errors and the errors occured when many users connect the same server concurrently. Our tool, called NaMoX, attains the clickables of the web pages, creates a model exerting depth first search algorithm. NaMoX simulates a number of users, parses the developed model, and tests the model by branch coverage analysis. We have performed experiments on five web sites. We have reported the response times when a click operation is eventuated. We have found 188 errors in total. Quality metrics are extracted and this is applied to the case studies.