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

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.3189openalex-snapshot
x86‐Android performance improvement for x86 smart mobile devices
inferredcites →https://doi.org/10.1007/978-3-319-22689-7_1openalex-snapshot
Towards Automated UI-Tests for Sensor-Based Mobile Applications
inferredcites →https://doi.org/10.1007/978-3-642-30947-2_55openalex-snapshot
A Concept for Testing Robustness and Safety of the Context-Aware Behaviour of Autonomous Systems
inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot
Support-Vector Networks
inferredcites →https://doi.org/10.1007/s100090050043openalex-snapshot
Model checking JAVA programs using JAVA PathFinder
inferredcites →https://doi.org/10.1007/s11219-018-9418-6openalex-snapshot
Automated functional testing of mobile applications: a systematic mapping study
inferredcites →https://doi.org/10.1007/s13534-015-0174-2openalex-snapshot
Low-power technologies for wearable telecare and telehealth systems: A review
inferredcites →https://doi.org/10.1016/j.jss.2016.03.065openalex-snapshot
A systematic mapping study of mobile application testing techniques
inferredcites →https://doi.org/10.1016/j.jss.2016.07.002openalex-snapshot
SIT: Sampling-based interactive testing for self-adaptive apps
inferredcites →https://doi.org/10.1016/j.pmcj.2019.04.001openalex-snapshot
CamTest: A laboratory testbed for camera-based mobile sensing applications
inferredcites →https://doi.org/10.1016/s1389-1286(03)00249-4openalex-snapshot
An introduction to the testing and test control notation (TTCN-3)
inferredcites →https://doi.org/10.1080/1097198x.2014.982452openalex-snapshot
Dependability Problems of Complex Information Systems
inferredcites →https://doi.org/10.1109/32.588521openalex-snapshot
The model checker SPIN
inferredcites →https://doi.org/10.1109/ase.2015.89openalex-snapshot
Automated Test Input Generation for Android: Are We There Yet? (E)
inferredcites →https://doi.org/10.1109/ast.2007.9openalex-snapshot
MobileTest: A Tool Supporting Automatic Black Box Test for Software on Smart Mobile Devices
inferredcites →https://doi.org/10.1109/aswec.2009.17openalex-snapshot
Hermes: A Tool for Testing Mobile Device Applications
inferredcites →https://doi.org/10.1109/cmc.2011.132openalex-snapshot
Model-Based Simulation Testing for Embedded Software
inferredcites →https://doi.org/10.1109/icse-c.2017.16openalex-snapshot
CrashScope: A Practical Tool for Automated Testing of Android Applications
inferredcites →https://doi.org/10.1109/icsess.2018.8663920openalex-snapshot
Automating Test Data Generation for Testing Context-Aware Applications
inferredcites →https://doi.org/10.1109/icsme.2017.27openalex-snapshot
Continuous, Evolutionary and Large-Scale: A New Perspective for Automated Mobile App Testing
inferredcites →https://doi.org/10.1109/icsme.2018.00065openalex-snapshot
Automated Extraction of Augmented Models for Android Apps
inferredcites →https://doi.org/10.1109/icstw.2013.22openalex-snapshot
Considering Context Events in Event-Based Testing of Mobile Applications
inferredcites →https://doi.org/10.1109/issre.2017.16openalex-snapshot
Chizpurfle: A Gray-Box Android Fuzzer for Vendor Service Customizations
inferredcites →https://doi.org/10.1109/iwast.2012.6228987openalex-snapshot
Software testing of mobile applications: Challenges and future research directions
inferredcites →https://doi.org/10.1109/mc.2013.445openalex-snapshot
Mobile Application Testing: A Tutorial
inferredcites →https://doi.org/10.1109/mcom.2010.5560598openalex-snapshot
A survey of mobile phone sensing
inferredcites →https://doi.org/10.1109/mobilesoft.2015.43openalex-snapshot
Understanding the Challenges in Mobile Computation Offloading to Cloud through Experimentation
inferredcites →https://doi.org/10.1109/mobilesoft.2017.36openalex-snapshot
On-Device Bug Reporting for Android Applications
inferredcites →https://doi.org/10.1109/percom.2004.1276875openalex-snapshot
A framework for developing mobile, context-aware applications
inferredcites →https://doi.org/10.1109/sere.2014.27openalex-snapshot
Generating Test Cases for Context-Aware Applications Using Bigraphs
inferredcites →https://doi.org/10.1109/sose.2015.17openalex-snapshot
Testing Location-Based Function Services for Mobile Applications
inferredcites →https://doi.org/10.1109/tmc.2013.140openalex-snapshot
Accurate WiFi Based Localization for Smartphones Using Peer Assistance
inferredcites →https://doi.org/10.1109/tr.2018.2865733openalex-snapshot
Automated Testing of Android Apps: A Systematic Literature Review
inferredcites →https://doi.org/10.1109/tse.2017.2697848openalex-snapshot
Towards Model Checking Android Applications
inferredcites →https://doi.org/10.1109/vtcfall.2015.7390847openalex-snapshot
Automated Testing of Context-Aware Applications
inferredcites →https://doi.org/10.1111/j.1475-4932.1935.tb02774.xopenalex-snapshot
CAMBRIDGE UNIVERSITY PRESS
inferredcites →https://doi.org/10.1145/1453101.1453136openalex-snapshot
Model-based fault detection in context-aware adaptive applications
inferredcites →https://doi.org/10.1145/1629575.1629586openalex-snapshot
Debugging in the (very) large
inferredcites →https://doi.org/10.1145/1656250.1656253openalex-snapshot
Partial constraint checking for context consistency in pervasive computing
inferredcites →https://doi.org/10.1145/1808266.1808268openalex-snapshot
Automating performance testing of interactive Java applications
inferredcites →https://doi.org/10.1145/1920261.1920313openalex-snapshot
Paranoid Android
inferredcites →https://doi.org/10.1145/2382756.2382797openalex-snapshot
Verifying android applications using Java PathFinder
inferredcites →https://doi.org/10.1145/2393596.2393600openalex-snapshot
Retargeting Android applications to Java bytecode
inferredcites →https://doi.org/10.1145/2430475.2430476openalex-snapshot
Dynamic fault detection in context-aware adaptation
inferredcites →https://doi.org/10.1145/2480362.2480706openalex-snapshot
Slicing droids
inferredcites →https://doi.org/10.1145/2491411.2491450openalex-snapshot
Dynodroid: an input generation system for Android apps
inferredcites →https://doi.org/10.1145/251007.251012openalex-snapshot
Dummynet
inferredcites →https://doi.org/10.1145/2554850.2554942openalex-snapshot
A model-based approach to test automation for context-aware mobile applications
inferredcites →https://doi.org/10.1145/2592798.2592813openalex-snapshot
Efficiently, effectively detecting mobile app bugs with AppDoctor
inferredcites →https://doi.org/10.1145/2594368.2594377openalex-snapshot
Automatic and scalable fault detection for mobile applications
inferredcites →https://doi.org/10.1145/2594368.2594390openalex-snapshot
PUMA
inferredcites →https://doi.org/10.1145/2639108.2639131openalex-snapshot
Caiipa
inferredcites →https://doi.org/10.1145/2771783.2771786openalex-snapshot
Systematic execution of Android test suites in adverse conditions
inferredcites →https://doi.org/10.1145/2858965.2814303openalex-snapshot
Scalable race detection for Android applications
inferredcites →https://doi.org/10.1145/2858965.2814320openalex-snapshot
Versatile yet lightweight record-and-replay for Android
inferredcites →https://doi.org/10.1145/2875913.2875937openalex-snapshot
Facilitating Reusable and Scalable Automated Testing and Analysis for Android Apps
inferredcites →https://doi.org/10.1145/2884781.2884854openalex-snapshot
MobiPlay
inferredcites →https://doi.org/10.1145/2896921.2896925openalex-snapshot
Fuzzy and cross-app replay for smartphone apps
inferredcites →https://doi.org/10.1145/2897073.2897078openalex-snapshot
CATLES
inferredcites →https://doi.org/10.1145/2897073.2897088openalex-snapshot
Reproducing context-sensitive crashes of mobile apps using crowdsourced monitoring
inferredcites →https://doi.org/10.1145/2897073.2897712openalex-snapshot
VALERA
inferredcites →https://doi.org/10.1145/2931037.2931069openalex-snapshot
Automatically verifying and reproducing event-based races in Android apps
inferredcites →https://doi.org/10.1145/2968219.2968586openalex-snapshot
How to validate mobile crowdsourcing design? leveraging data integration in prototype testing
inferredcites →https://doi.org/10.1145/2968219.2968589openalex-snapshot
Social-aware device-to-device communication
inferredcites →https://doi.org/10.1145/2970276.2970320openalex-snapshot
Generating test cases to expose concurrency bugs in Android applications
inferredcites →https://doi.org/10.1145/3032970.3032972openalex-snapshot
Towards A Contextual and Scalable Automated-testing Service for Mobile Apps
inferredcites →https://doi.org/10.1145/3052973.3052984openalex-snapshot
DroidForensics
inferredcites →https://doi.org/10.1145/3064176.3064188openalex-snapshot
Node.fz
inferredcites →https://doi.org/10.1145/3130945openalex-snapshot
TestAWARE
inferredcites →https://doi.org/10.1145/3180155.3180160openalex-snapshot
Testing vision-based control systems using learnable evolutionary algorithms
inferredcites →https://doi.org/10.1145/3185089.3185099openalex-snapshot
Test Case Generation from Android Mobile Applications Focusing on Context Events
inferredcites →https://doi.org/10.1145/3197231.3197234openalex-snapshot
Mobicomonkey
inferredcites →https://doi.org/10.1504/ijahuc.2007.014070openalex-snapshot
A survey on context-aware systems
inferredcites →https://doi.org/10.18293/seke2015-118openalex-snapshot
Generating various contexts from permissions for testing Android applications
inferredcites →https://doi.org/10.19210/1007.2.1.27openalex-snapshot
Context-Dependent Testing of Applications for Mobile Devices
inferredcites →https://doi.org/10.2197/ipsjtrans.2.200openalex-snapshot
Using a Virtual Machine Monitor to Slow Down CPU Speed for Embedded Time-Sensitive Software Testing
inferredcites →https://doi.org/10.3389/fict.2015.00006openalex-snapshot
AWARE: Mobile Context Instrumentation Framework
inferredcites →https://doi.org/10.5555/2346616.2346645openalex-snapshot
Model-based generation of scenario-specific event sequences for the simulation of recurrent user behavior within context-aware applications (WIP)
inferredcites →https://doi.org/10.5555/800078.802557openalex-snapshot
Program slicing
inferredcites →https://doi.org/10.5860/choice.46-3301openalex-snapshot
A concise introduction to software engineering

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multiuser context‐aware computation offloading in mobile edge computing based on Bayesian learning automata
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Context-Aware Multi-User Offloading in Mobile Edge Computing: a Federated Learning-Based Approach
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Simulation Might Change Your Results: A Comparison of Context-Aware System Input Validation in Simulated and Physical Environments
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Alternatives for testing of context-aware software systems in non-academic settings: results from a Rapid Review
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Towards the definition of a research agenda on mobile application testing based on a tertiary study
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Data Protection Methods and Intrusion Detection Systems Employing Machine Learning and Deep Learning in the IoT: A Comparative Review
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Context-Aware Android Applications Testing
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Automated, Dynamic Android App Vulnerability and Privacy Leak Analysis: Design Considerations, Required Components and Available Tools
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Using Machine Learning on Testing IoT Applications: a systematic mapping
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Virtual Device Farms for Mobile App Testing at Scale: A Pursuit for Fidelity, Efficiency, and Accessibility
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CATS#: A Testing Technique to Support the Specification of Test Cases for Context-Aware Software Systems
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Applying Spectrum-Based Fault Localization to Android Applications
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Fast-Forward Reality: Authoring Error-Free Context-Aware Policies with Real-Time Unit Tests in Extended Reality
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Using Metamorphic Testing to Identify Authentication Vulnerabilities in Android Mobile Applications
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Towards Intelligent Incident Response: A Review of Adaptive and Automated Planning and Orchestration Approaches
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The Applicability of Automated Testing Frameworks for Mobile Application Testing: A Systematic Literature Review
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Exploración del posicionamiento indoor mediante el reconocimiento de objetos con el fin de co-diseñar y co-testear aplicaciones móviles sensibles al contexto
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A Machine Learning-Based Approach for Screen Addiction Detection and Digital Wellbeing Using Behavioral Analysis
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Alternatives for Testing of Context-Aware Contemporary Software Systems in industrial settings: Results from a Rapid review
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Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.