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Fully automated functional fuzzing of Android apps for detecting non-crashing logic bugs
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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/stvr.1654openalex-snapshot
Why does the orientation change mess up my Android application? From GUI failures to code faults
inferredcites →https://doi.org/10.1002/stvr.1752openalex-snapshot
Functional test generation from UI test scenarios using reinforcement learning for android applications
inferredcites →https://doi.org/10.1007/978-3-319-89363-1_15openalex-snapshot
TCM: Test Case Mutation to Improve Crash Detection in Android
inferredcites →https://doi.org/10.1007/978-3-642-37057-1_19openalex-snapshot
A Grey-Box Approach for Automated GUI-Model Generation of Mobile Applications
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/10.1016/j.is.2015.08.004openalex-snapshot
Tree edit distance: Robust and memory-efficient
inferredcites →https://doi.org/10.1016/j.jss.2010.11.920openalex-snapshot
Testing and validating machine learning classifiers by metamorphic testing
inferredcites →https://doi.org/10.1016/j.tcs.2004.12.030openalex-snapshot
A survey on tree edit distance and related problems
inferredcites →https://doi.org/10.1109/ase.2003.1240304openalex-snapshot
What test oracle should I use for effective GUI testing?
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/ase.2017.8115615openalex-snapshot
EHBDroid: Beyond GUI testing for Android applications
inferredcites →https://doi.org/10.1109/ase.2017.8115644openalex-snapshot
Automated cross-platform inconsistency detection for mobile apps
inferredcites →https://doi.org/10.1109/ase.2019.00015openalex-snapshot
Test Transfer Across Mobile Apps Through Semantic Mapping
inferredcites →https://doi.org/10.1109/ase.2019.00016openalex-snapshot
Test Migration Between Mobile Apps with Similar Functionality
inferredcites →https://doi.org/10.1109/icse-c.2017.8openalex-snapshot
DroidBot: a lightweight UI-Guided test input generator for android
inferredcites →https://doi.org/10.1109/icse.2007.94openalex-snapshot
Using GUI Run-Time State as Feedback to Generate Test Cases
inferredcites →https://doi.org/10.1109/icse.2019.00042openalex-snapshot
Practical GUI Testing of Android Applications Via Model Abstraction and Refinement
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.2017.47openalex-snapshot
How do Developers Test Android Applications?
inferredcites →https://doi.org/10.1109/icst.2014.31openalex-snapshot
Automated Generation of Oracles for Testing User-Interaction Features of Mobile Apps
inferredcites →https://doi.org/10.1109/icst.2015.7102609openalex-snapshot
Understanding the Test Automation Culture of App Developers
inferredcites →https://doi.org/10.1109/mc.2018.2141024openalex-snapshot
What Are We Missing When Testing Our Android Apps?
inferredcites →https://doi.org/10.1109/ms.2014.55openalex-snapshot
MobiGUITAR: Automated Model-Based Testing of Mobile Apps
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.2014.2331982openalex-snapshot
On the Accuracy, Efficiency, and Reusability of Automated Test Oracles for Android Devices
inferredcites →https://doi.org/10.1109/tse.2014.2372785openalex-snapshot
The Oracle Problem in Software Testing: A Survey
inferredcites →https://doi.org/10.1109/tse.2016.2532875openalex-snapshot
A Survey on Metamorphic Testing
inferredcites →https://doi.org/10.1109/tse.2020.3013438openalex-snapshot
Why My App Crashes? Understanding and Benchmarking Framework-Specific Exceptions of Android Apps
inferredcites →https://doi.org/10.1111/exsy.12608openalex-snapshot
Automating test oracles from restricted natural language agile requirements
inferredcites →https://doi.org/10.1137/0218082openalex-snapshot
Simple Fast Algorithms for the Editing Distance between Trees and Related Problems
inferredcites →https://doi.org/10.1145/1189748.1189752openalex-snapshot
Designing and comparing automated test oracles for GUI-based software applications
inferredcites →https://doi.org/10.1145/2180921.2180940openalex-snapshot
Preprocessing the web server logs
inferredcites →https://doi.org/10.1145/2382756.2382797openalex-snapshot
Verifying android applications using Java PathFinder
inferredcites →https://doi.org/10.1145/2382756.2382798openalex-snapshot
Testing android apps through symbolic execution
inferredcites →https://doi.org/10.1145/2393596.2393666openalex-snapshot
Automated concolic testing of smartphone apps
inferredcites →https://doi.org/10.1145/2483760.2483777openalex-snapshot
Automated testing with targeted event sequence generation
inferredcites →https://doi.org/10.1145/2491411.2491450openalex-snapshot
Dynodroid: an input generation system for Android apps
inferredcites →https://doi.org/10.1145/2509136.2509549openalex-snapshot
Targeted and depth-first exploration for systematic testing of android apps
inferredcites →https://doi.org/10.1145/2509136.2509552openalex-snapshot
Guided GUI testing of android apps with minimal restart and approximate learning
inferredcites →https://doi.org/10.1145/2592798.2592813openalex-snapshot
Efficiently, effectively detecting mobile app bugs with AppDoctor
inferredcites →https://doi.org/10.1145/2594291.2594334openalex-snapshot
Compiler validation via equivalence modulo inputs
inferredcites →https://doi.org/10.1145/2635868.2635896openalex-snapshot
EvoDroid: segmented evolutionary testing of Android apps
inferredcites →https://doi.org/10.1145/2642937.2642991openalex-snapshot
Leveraging existing tests in automated test generation for web applications
inferredcites →https://doi.org/10.1145/2771783.2771786openalex-snapshot
Systematic execution of Android test suites in adverse conditions
inferredcites →https://doi.org/10.1145/2884781.2884853openalex-snapshot
Reducing combinatorics in GUI testing of android applications
inferredcites →https://doi.org/10.1145/2931037.2931054openalex-snapshot
Sapienz: multi-objective automated testing for Android applications
inferredcites →https://doi.org/10.1145/2970276.2970313openalex-snapshot
Automated model-based Android GUI testing using multi-level GUI comparison criteria
inferredcites →https://doi.org/10.1145/2983990.2984011openalex-snapshot
Finding resume and restart errors in Android applications
inferredcites →https://doi.org/10.1145/2983990.2984038openalex-snapshot
Finding compiler bugs via live code mutation
inferredcites →https://doi.org/10.1145/3106237.3106298openalex-snapshot
Guided, stochastic model-based GUI testing of Android apps
inferredcites →https://doi.org/10.1145/3133850.3133853openalex-snapshot
ChimpCheck: property-based randomized test generation for interactive apps
inferredcites →https://doi.org/10.1145/3180155.3180222openalex-snapshot
Large-scale analysis of framework-specific exceptions in Android apps
inferredcites →https://doi.org/10.1145/3197231.3197241openalex-snapshot
Automation of Android applications functional testing using machine learning activities classification
inferredcites →https://doi.org/10.1145/3213846.3213869openalex-snapshot
Automatically translating bug reports into test cases for mobile apps
inferredcites →https://doi.org/10.1145/3236024.3236055openalex-snapshot
AppFlow: using machine learning to synthesize robust, reusable UI tests
inferredcites →https://doi.org/10.1145/3238147.3238170openalex-snapshot
Efficiently manifesting asynchronous programming errors in Android apps
inferredcites →https://doi.org/10.1145/3238147.3240465openalex-snapshot
An empirical study of Android test generation tools in industrial cases
inferredcites →https://doi.org/10.1145/3243218.3243219openalex-snapshot
Configurations in Android testing: they matter
inferredcites →https://doi.org/10.1145/3293882.3330567openalex-snapshot
Interactive metamorphic testing of debuggers
inferredcites →https://doi.org/10.1145/3338906.3338980openalex-snapshot
Preference-wise testing for Android applications
inferredcites →https://doi.org/10.1145/3368089.3409677openalex-snapshot
Automated construction of energy test oracles for Android
inferredcites →https://doi.org/10.1145/3377811.3380402openalex-snapshot
Time-travel testing of Android apps
inferredcites →https://doi.org/10.1145/3428205openalex-snapshot
Learning semantic program embeddings with graph interval neural network
inferredcites →https://doi.org/10.1145/3460319.3464806openalex-snapshot
Understanding and finding system setting-related defects in Android apps
inferredcites →https://doi.org/10.1145/3468264.3468620openalex-snapshot
Benchmarking automated GUI testing for Android against real-world bugs
inferredcites →https://doi.org/10.1145/355045.355050openalex-snapshot
Automated test oracles for GUIs
inferredcites →https://doi.org/10.48550/arxiv.1801.06267openalex-snapshot
Continuous, Evolutionary and Large-Scale: A New Perspective for Automated Mobile App Testing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/smr.2523openalex-snapshot
APP constraint analysis approach to select mobile devices for compatibility crowdtesting
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Understanding the Reproducibility Issues of Monkey for GUI Testing
inferred← citeshttps://doi.org/10.1007/s10515-025-00523-7openalex-snapshot
Software testing for extended reality applications: a systematic mapping study
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Automated testing of prevalent 3D user interactions in virtual reality applications
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Detecting data manipulation errors in android applications using scene-guided exploration
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Detecting API compatibility issues of android applications based on screen transition graphs
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inferred← citeshttps://doi.org/10.1109/access.2022.3218902openalex-snapshot
Fast Witness Generation for Readable GUI Test Scenarios via Generalized Experience Replay
inferred← citeshttps://doi.org/10.1109/aetcse69203.2026.11504024openalex-snapshot
A Detection Method for Text Input-Induced Non-Crashing Functional Bugs in Mobile GUI Testing
inferred← citeshttps://doi.org/10.1109/apsec65559.2024.00017openalex-snapshot
A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00182openalex-snapshot
Generating Failure-Based Oracles to Support Testing of Reported Bugs in Android Apps
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00270openalex-snapshot
Minuku: Detecting Diverse Display Issues in Mobile Apps with Small-scale Dataset
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11132499openalex-snapshot
DROIDFUZZ: Proprietary Driver Fuzzing for Embedded Android Devices
inferred← citeshttps://doi.org/10.1109/icaiss55157.2022.10010759openalex-snapshot
Multi-Port Evaluation Framework for Android Software Design
inferred← citeshttps://doi.org/10.1109/iccece58074.2023.10135349openalex-snapshot
ConfigDroid: Configuration-aware GUI testing of Android Applications
inferred← citeshttps://doi.org/10.1109/icse-seip58684.2023.00021openalex-snapshot
Widget Detection-based Testing for Industrial Mobile Games
inferred← citeshttps://doi.org/10.1109/icse-seip66354.2025.00009openalex-snapshot
KuiTest: Leveraging Knowledge in the Wild as GUI Testing Oracle for Mobile Apps
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00033openalex-snapshot
Compatibility Issue Detection for Android Apps Based on Path-Sensitive Semantic Analysis
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00105openalex-snapshot
Fuzzing Automatic Differentiation in Deep-Learning Libraries
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00029openalex-snapshot
EP-Detector: Automatic Detection of Error-Prone Operation Anomalies in Android Applications
inferred← citeshttps://doi.org/10.1109/issre59848.2023.00032openalex-snapshot
Effectively Finding ICC-related Bugs in Android Apps via Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/msr66628.2025.00019openalex-snapshot
An Empirical Study on Leveraging Images in Automated Bug Report Reproduction
inferred← citeshttps://doi.org/10.1109/qrs65678.2025.00048openalex-snapshot
An Empirical Study of the Root Causes and Consequences in Real-World App Compatibility Issues
inferred← citeshttps://doi.org/10.1109/saner53432.2022.00048openalex-snapshot
An Empirical Investigation into the Reproduction of Bug Reports for Android Apps
inferred← citeshttps://doi.org/10.1109/tse.2024.3393070openalex-snapshot
Automated Infrastructure as Code Program Testing
inferred← citeshttps://doi.org/10.1109/tse.2025.3544441openalex-snapshot
Robotic Visual GUI Testing for Truly Non-Intrusive Test Automation of Touch Screen Applications
inferred← citeshttps://doi.org/10.1109/tse.2025.3614469openalex-snapshot
Seeing is Believing: Vision-Driven Non-Crash Functional Bug Detection for Mobile Apps
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Toward Understanding Functional Bugs in EVM-Based Blockchain Systems
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Fuzzing deep-learning libraries via automated relational API inference
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Avgust: automating usage-based test generation from videos of app executions
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Detecting non-crashing functional bugs in Android apps via deep-state differential analysis
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Coverage-based Greybox Fuzzing with Pointer Monitoring for C Programs
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Intramorphic Testing: A New Approach to the Test Oracle Problem
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Finding XPath Bugs in XML Document Processors via Differential Testing
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Property-Based Fuzzing for Finding Data Manipulation Errors in Android Apps
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Automata-Based Trace Analysis for Aiding Diagnosing GUI Testing Tools for Android
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