UPM Institutional Repository

Orchestration framework for automated Ajax-based web application testing


Citation

Deyab, Hitham Haidar and Atan, Rodziah (2015) Orchestration framework for automated Ajax-based web application testing. In: 9th Malaysian Software Engineering Conference (MySEC 2015), 16-17 Dec. 2015, Kuala Lumpur, Malaysia. (pp. 1-6).

Abstract

The web today is a growing universe of interlinked web pages and web apps, teeming with videos, photos, and interactive content. Over time web technologies have evolved to give web developers the ability to create new generations of useful and immersive web experiences. The most important technology in realizing this shift is Ajax (Asynchronous Javascript and XML). Ajax is a major breakthrough in the web development area even though it is rather complex to set it up and test. Tools like CRAWLJAX automatically generate test cases and apply pipelined oracle comparators along with generated DOM templates. But with the huge amount of data and test cases this comes at the cost of accuracy and speed. This paper explores the web application automated testing. In this research, orchestration framework has been introduced to effectively control automated task and orchestrated process. The orchestrator has been further implemented and demonstrated on a prototype production test. The functionalities and implementation of the orchestrator has been discussed in detail in this paper.


Download File

[img]
Preview
PDF (Abstract)
Orchestration framework for automated Ajax-based web application testing.pdf

Download (37kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/MySEC.2015.7475186
Publisher: IEEE
Keywords: Ajax test; Automated testing; Test orchestration; Web crawling
Depositing User: Nabilah Mustapa
Date Deposited: 31 Jul 2017 05:18
Last Modified: 31 Jul 2017 05:18
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/MySEC.2015.7475186
URI: http://psasir.upm.edu.my/id/eprint/56299
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item