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Combining Automated GUI Exploration of Android apps with Capture and Replay through Machine Learning

https://doi.org/10.1016/j.infsof.2018.08.007

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What this work says

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

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A taxonomy of model‐based testing approaches

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An empirical study of binary classifier fusion methods for multiclass classification

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Graphical user interface (GUI) testing: Systematic mapping and repository

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Combinatorial-based event sequence testing of Android applications

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A general framework for comparing automatic testing techniques of Android mobile apps

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inferredcites →https://doi.org/10.1109/ase.2015.89openalex-snapshot

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2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE)

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2007 IEEE International Conference on Software Maintenance

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inferredcites →https://doi.org/10.1109/icst39641.2017openalex-snapshot

2017 IEEE International Conference on Software Testing, Verification and Validation (ICST)

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NetworkProfiler: Towards automatic fingerprinting of Android apps

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2012 Proceedings IEEE INFOCOM

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2015 IEEE/ACM 12th Working Conference on Mining Software Repositories

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inferredcites →https://doi.org/10.1109/sere-c.2013.35openalex-snapshot

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inferredcites →https://doi.org/10.1109/sere-c32060.2013openalex-snapshot

2013 IEEE Seventh International Conference on Software Security and Reliability Companion

inferredcites →https://doi.org/10.1109/taffc.2016.2588488openalex-snapshot

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2013 20th Working Conference on Reverse Engineering (WCRE)

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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/10.1145/2544173.2509549openalex-snapshot

Targeted and depth-first exploration for systematic testing of android apps

inferredcites →https://doi.org/10.1145/2592798.2592813openalex-snapshot

Efficiently, effectively detecting mobile app bugs with AppDoctor

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PUMA

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How to learn an unknown environment. I

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Developing Automated Input Generator for Android Mobile Device to Evaluate Malware Behavior

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Monkey see, monkey do: effective generation of GUI tests with inferred macro events

inferredcites →https://doi.org/10.1145/2931037.2931054openalex-snapshot

Sapienz: multi-objective automated testing for Android applications

inferredcites →https://doi.org/10.1145/2950290.2983938openalex-snapshot

ARdoc: app reviews development oriented classifier

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Introduction to information retrieval

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Vision-Based Mobile App GUI Testing: A Survey

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SSLDetecter: Detecting SSL Security Vulnerabilities of Android Applications Based on a Novel Automatic Traversal Method

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