A Survey of Context Simulation for Testing Mobile Context-Aware Applications

Author:

Luo Chu1ORCID,Goncalves Jorge1,Velloso Eduardo1,Kostakos Vassilis1

Affiliation:

1. University of Melbourne, Parkville, VIC, Australia

Abstract

Equipped with an abundance of small-scale microelectromechanical sensors, modern mobile devices such as smartphones and smartwatches can now offer context-aware services to users in mobile environments. Although advances in mobile context-aware applications have made our everyday environments increasingly intelligent, these applications are prone to bugs that are highly difficult to reproduce and repair. Compared to conventional computer software, mobile context-aware applications often have more complex structures to process a wide variety of dynamic context data in specific scenarios. Accordingly, researchers have proposed diverse context simulation techniques to enable low-cost and effective tests instead of conducting costly and time-consuming real-world experiments. This article aims to give a comprehensive overview of the state-of-the-art context simulation methods for testing mobile context-aware applications. In particular, this article highlights the technical distinctions and commonalities in previous research conducted across multiple disciplines, particularly at the intersection of software testing, ubiquitous computing, and mobile computing. This article also discusses how each method can be implemented and deployed by testing tool developers and mobile application testers. Finally, this article identifies several unexplored issues and directions for further advancements in this field.

Funder

ARC Discovery Project

Samsung Global Research Outreach

Google

Australian Research Council Discovery Early Career Award

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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