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Improving random GUI testing with image-based widget detection
2019
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis - ISSTA 2019
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We propose a technique for improving random GUI testing by automatically identifying GUI widgets in screen shots using machine learning techniques. ...
In our experiments, we found that identifying GUI widgets from screen shots and using this information to guide random testing achieved a signiicantly higher branch coverage in 18 of 20 applications, with ...
We describe a technique based on deep learning that adapts machine learning object detection algorithms to the problem of GUI widget detection. • We propose an improve random GUI testing approach that ...
doi:10.1145/3293882.3330551
dblp:conf/issta/WhiteFB19
fatcat:254ed52xovdpviz37wgn5a3zki
Psychologically-Inspired, Unsupervised Inference of Perceptual Groups of GUI Widgets from GUI Images
[article]
2022
arXiv
pre-print
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Inspired by these principles, we present a novel unsupervised image-based method for inferring perceptual groups of GUI widgets. ...
Our method requires only GUI pixel images, is independent of GUI implementation, and does not require any training data. ...
[45] apply a popular object detection model YOLOv2 [33] to detect GUI widgets in GUI images for random GUI testing. Feng et al. ...
arXiv:2206.10352v1
fatcat:7rczforlobahjcqy4dvgk3xqlq
A Manually Captured and Modified Phone Screen Image Dataset for Widget Classification on CNNs
2022
Journal of Information Processing Systems
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An implementation for widget detection and classification on RetinaNet and EfficientNet is then executed. ...
For example, deep learning can be an innovative solution to classify widgets in screen images for increasing convenience. ...
Categorizing and generalizing GUI components with myriad forms based on functionality is a complex subject. ...
doi:10.3745/jips.02.0169
dblp:journals/jips/ByunHJ22
fatcat:dhf2r2ekbvh6hd2vfky6x6a6nm
Black-Box Test Data Generation for GUI Testing
2014
2014 14th International Conference on Quality Software
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Effective system testing of applications with a Graphical User Interface (GUI) front-end demands careful generation of event sequences as well as providing relevant test data for parameterized widgets, ...
an opportunity to be integrated with the existing GUI testing frameworks. ...
The results show that our approach is capable of improving the code coverage compared to using random values. ...
doi:10.1109/qsic.2014.42
dblp:conf/qsic/DarabC14
fatcat:gmkjhbpl4negrg35zjovspy7fa
testar - scriptless testing through graphical user interface
2021
Software testing, verification & reliability
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With this paper, we hope we can help and encourage other researchers to use TESTAR for their GUI testing-related research and pave the way for an international research agenda in GUI testing built upon ...
Covering all the possible paths of the graphical user interface (GUI) with test scripts would take too much effort and result in serious maintenance issues. ...
Tycho Menting, Perttu Moilanen, Mirella Oreto Martínez Murillo, Carlos Ortega, Mauro Pezze, Dietmar Pfahl, Tomi Piirainen, Wishnu Prasetya, Enrique Reverón, Antonio de Rojas, Urko Rueda, Carlo Sengers, Guy ...
doi:10.1002/stvr.1771
dblp:journals/stvr/VosARVM21
fatcat:hvh63bm555gehjzjouggbzzuka
Evaluation of the Automated Testing Framework: A Case Study
2020
Tecnología en Marcha
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It has shown that it works well detecting bugs associated with user-interactions. ...
Automated software test can be the key to improve the traditional manual testing, often time consuming and repetitive. ...
In this part of the research, a bug analyzer based on digital image processing was implemented, as well as another one based on GUI information. ...
doi:10.18845/tm.v33i3.4372
fatcat:kkujnvcoufb7df6vshgj2plgza
Unsupervised Detection of Changes in Usage-Phases of a Mobile App
2020
Applied Sciences
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Our experimental results on commercial mobile apps show promising improvement over the state-of-the-practice method based on SIFT (scale-invariant feature transform). ...
This work proposes novel approaches for one of the core functionalities of automated app testing: the detection of changes in usage-phases of a mobile app. ...
Android Monkey takes a practical solution for GUI (graphical user interface) based testing: a random testing approach ("monkey testing") for generating random events [3, 4] . ...
doi:10.3390/app10103656
fatcat:us5frw3hwncplj7gfhli7pgxze
Behind the Scenes: An Approach to Incorporate Context in GUI Test Case Generation
2011
2011 IEEE Fourth International Conference on Software Testing, Verification and Validation Workshops
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In this paper we propose a model for better GUI testing. Our model is created based on two observations. ...
Graphical user interfaces (GUIs) are a common way to interact with software. To ensure the quality of such software it is important to test the possible interactions with its user interface. ...
Related Work Recent works have been done to improve GUI testing using the application's source code. Zhao and Cai [5] propose a coverage criteria based on the handler of the widgets. ...
doi:10.1109/icstw.2011.70
dblp:conf/icst/ArltBS11
fatcat:v6kte5tigjbdnhfvwq5ymxbgpe
User Interface Level Testing with TESTAR; What about More Sophisticated Action Specification and Selection?
2014
Seminar on Advanced Techniques and Tools for Software Evolution
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In earlier works we presented the TESTAR tool, a Model-Based approach to automate testing of applications at the GUI level whose objective is to generate test cases based on a model that is automatically ...
Testing software applications at the Graphical User Interface (GUI) level is a very important testing phase to ensure realistic tests because the GUI represents a central juncture in the application under ...
In previous work, we have presented TESTAR [5, 6, 3] , a Model-Based approach to automate testing at the GUI level. ...
dblp:conf/sattose/BauersfeldV14
fatcat:rkv7pwzsyra47f5vgsfnrnpfou
GUITAR: an innovative tool for automated testing of GUI-driven software
2013
Automated Software Engineering : An International Journal
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., model-based, capture/replay, manually scripted) for effective GUI testing. Yet, the tools available today for GUI testing are limited in the techniques they support. ...
We term GUI testing as the process of testing a software application through its GUI. ...
Monkey, a tool for random walking of Android application GUIs 2. NModel, a model-based testing framework for C# programs 3. ...
doi:10.1007/s10515-013-0128-9
fatcat:72pi5kcg6vc3xfgeq3rgxxkmgu
EMPIRICAL STUDY ON AUTOMATED GUI TESTING TECHNIQUES FOR ANDROID
2017
Asia Pacific Journal of Contemporary Education and Communication Technology
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This paper presents an overview of recent work done in the area of automated GUI based testing of Android applications. ...
The traditional GUI testing of today's smart phones is not enough to test the Android application. ...
Client server based model
Testing based on Image flow
Images are taken as input
Silkuli
Tool Based
TEMA Tools
Model based
Model based GUI testing for web based
android applications
Model based ...
doi:10.25275/apjcectv3i2ict1
fatcat:75iwd6aopzgsflcrfhlre22dfi
Parameterized GUI Tests
[chapter]
2012
Lecture Notes in Computer Science
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GUI testing is a form of system testing where test cases are based on user interactions. ...
The approach is based on the new notion of parameterized GUI tests. We have implemented the approach in a new tool. ...
Introduction GUI testing is a form of system testing where test cases are based on user interactions. ...
doi:10.1007/978-3-642-34691-0_18
fatcat:duc72szigjc6rhbihspptq6pgy
Glyph-Based Visualization of Affective States
2020
Eurographics Conference on Visualization
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In a user study with 644 participants, the widgets were evaluated in relation to a baseline widget and were tested on intuitiveness and understandability. ...
In the entertainment industry, game mechanics can be adapted based on the boredom and frustration levels of a player. ...
Thus, we mapped affective keywords to the images instead, and then tested and improved the choice of images as well as sentences in a pilot study (n = 10). ...
doi:10.2312/evs.20201059
dblp:conf/vissym/KovacevicWSGG20
fatcat:sbxibnu4yfa2jfibts5ks32spa
DroidbotX: Test Case Generation Tool for Android Applications Using Q-Learning
2021
Symmetry
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A Q-Learning-based test coverage approach developed in DroidbotX was proposed to generate GUI test cases for Android applications to maximize instruction coverage, method coverage, and activity coverage ...
Such tools must choose not only which user interface element to interact with, but also which type of action to be performed, in order to increase the percentage of code coverage and to detect faults with ...
Implementation Q-Learning technique with UCB exploration strategy was adopted to generate a GUI test case for Android apps to improve coverage and crash detection. ...
doi:10.3390/sym13020310
fatcat:6v6ovsadavfr7nkaxoujcgymsq
SSLDetecter: Detecting SSL Security Vulnerabilities of Android Applications Based on a Novel Automatic Traversal Method
2019
Security and Communication Networks
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Existing methods based on static decompiling technology to detect SSL security vulnerabilities of Android applications cannot cope with the increasingly common packed applications. ...
Compared with the existing system SMV-HUNTER, the time efficiency of our system increases by 38% and the average detection rate increases by 6.39 percentage points, with many types of SSL vulnerabilities ...
Monkey drives the automation of applications based on a sequence of random events, while our system is based on application widgets. ...
doi:10.1155/2019/7193684
fatcat:ldbrr77hfzgwvjsgdvyiew3eyq
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