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Revolutionizing Mobile App Testing: Tackling Pop-Ups

A new tool solves the challenge of app-blocking pop-ups during automated testing.

Linqiang Guo, Wei Liu, Yi Wen Heng, Tse-Hsun, Chen, Yang Wang

― 5 min read


End Pop-Up Chaos in End Pop-Up Chaos in Testing effectively. A new tool tackles app-blocking pop-ups
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In the world of mobile apps, how users interact with the app is greatly influenced by the graphical user interface, or GUI. This interface is the face of the app and plays a vital role in ensuring the app is functional and enjoyable to use. However, there is one pesky villain that often interrupts this smooth interaction: app-blocking pop-ups.

Pop-ups can come in many forms, such as advertisements, alerts, or system notifications. They can suddenly appear, cover essential buttons, and throw a wrench in the testing process. Automated Testing is meant to make life easier for developers, but pop-ups can require testers to step in manually, which can be a real headache.

This article explores the challenges posed by app-blocking pop-ups and introduces an innovative solution to detect and resolve these interruptions effectively.

The Challenge of Pop-Ups

Pop-ups are notorious for obstructing the view in mobile apps when testers are running automated tests. It's like trying to read a book while someone holds a big sign in front of your face—it’s impossible! These pop-ups can appear unexpectedly and block buttons, text fields, and other essential elements of the app.

When testers encounter a pop-up during a test, the usual result is chaos. The automated test script might fail or yield inaccurate results. This situation can lead to longer testing times and reduced confidence in the app's reliability.

To make matters worse, many apps don’t account for these pop-ups in their testing scripts. That’s like planning a picnic but forgetting to check the weather—disaster is likely to strike!

A New Tool for Automated Testing

To tackle the problem of pop-ups, a new tool has been introduced. This tool is designed to automatically detect and resolve app-blocking pop-ups in real-time during automated mobile GUI testing. By using advanced techniques and computer vision, the tool identifies pop-ups and helps dismiss them, allowing testing to continue without interruptions.

Imagine being at a party where the music stops every time someone interrupts with a loud announcement. This tool is like the DJ who knows how to keep the party going smoothly!

How the Tool Works

The tool operates through three main components:

  1. Real-Time Screenshot Processing: The tool continuously captures screenshots while the test runs. To save time, it only sends the screenshots that show significant changes to the next step for further analysis.

  2. Pop-Up Classifier: This component uses a two-stage classification approach that employs two popular image classification models to determine if a screenshot contains a pop-up. The goal is to accurately differentiate between pop-ups and the app content.

  3. Close Button Detector: Once a pop-up is identified, this component locates the close button on the pop-up. It uses an efficient object detection model to find the coordinates of the button, which allows the automated script to simulate a click and close the pop-up.

With the combined powers of these components, the tool can help ensure that testing can proceed without any interruptions from pesky pop-ups!

Research Results

In order to ensure that this tool works effectively, extensive testing was conducted. The tool was evaluated on a massive dataset of screenshots, including over 72,000 images from various apps.

The evaluation discovered that app-blocking pop-ups appear more frequently than one might think. Over 8% of apps in the dataset had at least one instance of a pop-up. For popular apps, this number shot up to 42%!

The tool demonstrated impressive results, achieving over 91% precision and nearly 94% recall in classifying pop-ups. That means it was able to accurately identify most of the pop-ups it encountered while keeping false positives to a minimum.

Effectiveness of the Tool

When the tool was put into action, it successfully resolved blockages in about 87% of the apps tested. This is like getting through a long line at a theme park and finding out that most rides don't have a wait time!

Moreover, the tool's speed was remarkable, processing each screenshot in just 60 milliseconds. That's faster than a hiccup!

Real-World Applications

The real magic of this tool shines when it is integrated into actual testing scenarios. Testers can easily incorporate the tool into their automated testing workflows, allowing them to handle pop-ups without having to write complicated code. It’s as if a magician just made the hard work vanish!

By automatically detecting and resolving pop-ups, the tool helps maintain a seamless testing experience, allowing developers to focus more on improving the app rather than getting tangled up in annoying interruptions.

Conclusion

The introduction of this tool represents a significant step forward in mobile app testing. By tackling the issue of app-blocking pop-ups, the tool improves the overall efficiency and reliability of the automated testing process. It’s clear that when it comes to testing mobile apps, having a reliable sidekick to handle interruptions can make all the difference.

In a world teeming with distractions, this tool stands ready to ensure that automated testing can continue smoothly, just like a well-coordinated dance party where everyone knows their steps. No more interruptions, just seamless testing and happy developers!

Original Source

Title: PopSweeper: Automatically Detecting and Resolving App-Blocking Pop-Ups to Assist Automated Mobile GUI Testing

Abstract: Graphical User Interfaces (GUIs) are the primary means by which users interact with mobile applications, making them crucial to both app functionality and user experience. However, a major challenge in automated testing is the frequent appearance of app-blocking pop-ups, such as ads or system alerts, which obscure critical UI elements and disrupt test execution, often requiring manual intervention. These interruptions lead to inaccurate test results, increased testing time, and reduced reliability, particularly for stakeholders conducting large-scale app testing. To address this issue, we introduce PopSweeper, a novel tool designed to detect and resolve app-blocking pop-ups in real-time during automated GUI testing. PopSweeper combines deep learning-based computer vision techniques for pop-up detection and close button localization, allowing it to autonomously identify pop-ups and ensure uninterrupted testing. We evaluated PopSweeper on over 72K app screenshots from the RICO dataset and 87 top-ranked mobile apps collected from app stores, manually identifying 832 app-blocking pop-ups. PopSweeper achieved 91.7% precision and 93.5% recall in pop-up classification and 93.9% BoxAP with 89.2% recall in close button detection. Furthermore, end-to-end evaluations demonstrated that PopSweeper successfully resolved blockages in 87.1% of apps with minimal overhead, achieving classification and close button detection within 60 milliseconds per frame. These results highlight PopSweeper's capability to enhance the accuracy and efficiency of automated GUI testing by mitigating pop-up interruptions.

Authors: Linqiang Guo, Wei Liu, Yi Wen Heng, Tse-Hsun, Chen, Yang Wang

Last Update: 2024-12-03 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2412.02933

Source PDF: https://arxiv.org/pdf/2412.02933

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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