Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing

• The repository contains the code to execute two feature matching-based approaches for widget detection in VGT scripts, and the raw data for the analyses reported in the paper Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing by Ardito Luca, Bottino Andrea, Coppola Riccardo , Lamberti Fabrizio, Manigrasso Francesco, Morra Lia, Torchiano Marco.

• Download the repository with, for example, git clone https://github.com/SoftengPoliTo/image_matching_study.git.

RQ1

• It contains the R script to reproduce the analyses pertaining RQ1
  • Evaluation it contains the scripts to reproduce example of the SIFT features matching with FULLSCREEN and CROPPED methods

RQ2

• It contains the R script to reproduce the analyses pertaining RQ2

How to evaluate the Cropped algorithm with SIFT

$ python evaluation_script.py --cropped 

How to evaluate the FullScreen algorithm with SIFT

$ python evaluation_script.py  

Citation

If you make use of the dataset in your research, please cite our paper:

Ardito Luca, Bottino Andrea, Coppola Riccardo , Lamberti Fabrizio, Manigrasso Francesco, Morra Lia, Torchiano Marco. "Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing",

Contributors & Maintainers

Ardito Luca, Bottino Andrea, Coppola Riccardo , Lamberti Fabrizio, Manigrasso Francesco, Morra Lia, Torchiano Marco.