eTagger is a Chrome extension that labels energy sensitive issues from Android projects on GitHub with energy patterns associated with the issue. The goal of eTagger is to make both the developers and the maintainers of the project aware of the energy efficiency when they take up the issues raised in the project, thereby increasing their adoption and making the projects more energy efficient.

Note: The current version of eTagger may have issues on runnning on some architectures of Mac systems.

Requirements

From Github

Clone or download this github repository:

git clone https://github.com/rishalab/eTagger.git

Running the Flask backend

Navigate into the backend directory:

cd backend

Install the requirements:

pip install -r requirements.txt

Note: The sentence-transformers may not get installed on some architectures of Mac systems. In such cases, kindly install the package manually with conda (requires conda environment installed) using the following command.

conda install -c conda-forge sentence-transformers

To start the server use the following command:

python backend.py

Loading the Chrome extension

Select the extensions option in control and customize menu in the Chrome browser

Customize and Control > More Tools > Extensions

Enable the develper mode, click on load unpacked and select the extension folder

Once the extension is loaded, enable it and allow it to work in incognito:

Details > Allow in incognito

Usage

Navigate to an Android project repository on Github.

Ex: iNPUTmice/Conversations

Navigate to the Issues tab to see the issues labeled with energy patterns.

• Generation of Labels

  eTagger uses the cosine similarity metric of the issue text and the energy pattern description to find out the labels associated with the issue. For the sake of providing a better UX, the number of labels are capped at 3.

  
  
• Working of Extension

  The approach of labeling described in the previous step is deployed on a local server using the Flask web framework. The extension monitors the browser forload of GitHub issues page. Once loaded, the text data from each of the issues is extracted and sent as an input to the flask backend server. The server labels the issues using the labeling approach and returns the list of labels for the given issue. This list is used to generate the tag element for each of the labels. These tags areappended to the issues in the webpage

  
  

• Make the developers aware of energy patterns in their projects.
• Help in driving the Android projects towards energy efficient development.