An Automated Functional Testing Framework for Context-Aware Applications

In the modern era of mobile computing, context-aware computing is an emerging paradigm due to its widespread applications. Context-aware applications are gaining increasing popularity in our daily lives since these applications can determine and react according to the situational context and help us...

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Bibliographic Details
Published in:IEEE access 2018-01, Vol.6, p.46568-46583
Main Authors: Mirza, Aamir Mehmood, Khan, Muhammad Naeem Ahmed
Format: Article
Language:English
Subjects:
Ambient intelligence
Automation
Context
Context modeling
Context-aware applications
Context-aware services
function net
Functional testing
Mobile computing
model based testing
Model testing
model transformation
petri net
Petri nets
Sensors
Testing
Testing time
Unified modeling language
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Summary:In the modern era of mobile computing, context-aware computing is an emerging paradigm due to its widespread applications. Context-aware applications are gaining increasing popularity in our daily lives since these applications can determine and react according to the situational context and help users to enhance usability experience. However, testing these applications is not straightforward since it poses several challenges, such as generating test data, designing context-coupled test cases, and so on. However, the testing process can be automated to a greater extent by employing model-based testing technique for context-aware applications. To achieve this goal, it is necessary to automate model transformation, test data generation, and test case execution processes. In this paper, we propose an approach for behavior modeling of context-aware application by extending the UML activity diagram. We also propose an automated model transformation approach to transform the development model, i.e., extended UML activity diagram into the testing model in the form of function nets. The objective of this paper is to automate the context-coupled test case generation and execution. We propose a functional testing framework for automated execution of keyword-based test cases. Our functional testing framework can reduce the testing time and cost, thus enabling the test engineers to execute more testing cycles to attain a higher degree of test coverage.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2865213