Model Driven Testing of Web Applications Using Domain Specific Language
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 1
Abstract
As more and more systems move to the cloud, the importance of web applications has increased recently. Web applications need more strict requirements in order to sup-port higher availability. The techniques in quality assurance of these applications hence become essential, the role of testing for web application becomes more significant. Model-driven testing is a promising paradigm for the automation of software testing. In the web domain, the challenge however remains in the creation of models and the complexity of configuring, launching, and testing big number of valid configuration and testing cases. This paper proposes a solution towards this challenge with an approach using Domain Specific Language (DSL) for model driven testing of web application. Our techniques are based on building abstractions of web pages using domain specific language. We introduce WTML - a domain specific language for modeling web pages and provide automatic code generation with a web-testing framework. This methodology and techniques aim at helping software developers as well as testers to become more productive and reduce the time-to-market, while maintaining high standards of web application quality.
Authors and Affiliations
Viet-Cuong Nguyen
Keywords
Related Articles
- EP ID EP111071
- DOI 10.14569/IJACSA.2015.060103
- Views 97
- Downloads 0
Grid Connected PV Plant based on Smart Grid Control and Monitoring
Today, smart grid is considered as an attractive technology for monitoring and management of grid connected renewable energy plants due to its flexibility, network architecture and communication between providers and con...
Dimensionality Reduction technique using Neural Networks – A Survey
A self-organizing map (SOM) is a classical neural network method for dimensionality reduction. It comes under the unsupervised class. SOM is a neural network that is trained using unsupervised learning to produce a...
CluSandra: A Framework and Algorithm for Data Stream Cluster Analysis
The clustering or partitioning of a dataset’s records into groups of similar records is an important aspect of knowledge discovery from datasets. A considerable amount of research has been applied to the identification o...
Smart Rubric-based Systematic Model for Evaluating and Prioritizing Academic Practices to Enhance the Education Outcomes
Recently, the impact of free-market economy, globalization, and knowledge economy has become a challenging and focal to higher educational institutions, which resulted in radical change. Therefore, it became mandatory fo...
Several Jamming Attacks in Wireless Networks: A Game Theory Approach
"Wireless jamming attacks have recently been a subject of several researches, due to the exposed nature of the wireless medium. This paper studies the anti-jamming resistance in the presence of several attackers. Two kin...