Litcius/Paper detail

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

Chu Luo, Jorge Gonçalves, Eduardo Velloso, Vassilis Kostakos

2020ACM Computing Surveys32 citationsDOIOpen Access PDF

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.

Topics & Concepts

Computer scienceContext (archaeology)Mobile deviceMobile computingHuman–computer interactionVariety (cybernetics)Field (mathematics)SoftwareProcess (computing)Data scienceUbiquitous computingIntersection (aeronautics)World Wide WebArtificial intelligenceTelecommunicationsOperating systemEngineeringAerospace engineeringMathematicsPure mathematicsPaleontologyBiologyContext-Aware Activity Recognition SystemsSoftware System Performance and ReliabilityMobile Crowdsensing and Crowdsourcing