Automated GUI Testing of Android Apps: From Research to Practice

No abstract is available for this paper.

• Publication year

  2016

• Venue

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

• Publication date

  2016-10-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/ICSME.2016.79
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• FUSION: A Tool for Facilitating and Augmenting Android Bug Reporting

  2016cited by this paper
• 2016 IEEE International Conference on Software Maintenance and Evolution, ICSME 2016, Raleigh, NC, USA, October 2-7, 2016

  2016cited by this paper
• Automatically Discovering, Reporting and Reproducing Android Application Crashes

  2016cited by this paper
• How developers detect and fix performance bottlenecks in Android apps

  2015cited by this paper
• Mining Android App Usages for Generating Actionable GUI-Based Execution Scenarios

  2015cited by this paper
• Optimizing energy consumption of GUIs in Android apps: a multi-objective approach

  2015cited by this paper
• Understanding the Test Automation Culture of App Developers

  2015cited by this paper
• Auto-completing bug reports for Android applications

  2015cited by this paper
• Enabling Testing of Android Apps

  2015cited by this paper
• The Impact of API Change- and Fault-Proneness on the User Ratings of Android Apps

  2015cited by this paper
• How do API changes trigger stack overflow discussions? a study on the Android SDK

  2014cited by this paper
• Mining energy-greedy API usage patterns in Android apps: an empirical study

  2014cited by this paper
• Efficiently, effectively detecting mobile app bugs with AppDoctor

  2014cited by this paper
• Prioritizing the devices to test your app on: a case study of Android game apps

  2014cited by this paper
• An Empirical Study of API Stability and Adoption in the Android Ecosystem

  2013cited by this paper
• An exploratory analysis of mobile development issues using stack overflow

  2013cited by this paper
• API change and fault proneness: a threat to the success of Android apps

  2013cited by this paper
• Real Challenges in Mobile App Development

  2013cited by this paper

• Characterizing Bugs in Login Processes of Android Applications: An Empirical Study

  2025cites this paper
• Large Language Models for Mobile GUI Text Input Generation: An Empirical Study

  2024cites this paper
• Help Them Understand: Testing and Improving Voice User Interfaces

  2024cites this paper
• AG3: Automated Game GUI Text Glitch Detection Based on Computer Vision

  2023cites this paper
• GUI-Guided Test Script Repair for Mobile Apps

  2022cites this paper
• Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding

  2022cites this paper
• Sorry, I don’t Understand: Improving Voice User Interface Testing

  2022cites this paper
• An empirical study of GUI widget detection for industrial mobile games

  2021cites this paper
• Owl Eyes: Spotting UI Display Issues via Visual Understanding

  2020cites this paper
• A Framework For Evaluating Performance Of Software Testing Tools

  2020cites this paper
• Tools and Techniques for Energy-Efficient Mobile Application Development

  2019cites this paper
• EMaaS: Energy Measurements as a Service for Mobile Applications

  2019cites this paper
• Mind the Gap: Are Practitioners and Researchers in Software Testing Speaking the Same Language?

  2019influential citation
• So You Want to Build a Farm: An Approach to Resource and Time Consuming Testing of Mobile Applications

  2018cites this paper
• A Comprehensive Approach to Quality Assurance in a Mobile Game Project

  2018cites this paper
• Please please me: does the presence of test cases influence mobile app users' satisfaction?

  2018cites this paper
• AimDroid: Activity-Insulated Multi-level Automated Testing for Android Applications

  2017cites this paper