This release contains the static analysis, testing framework, experimental subjects, materials for app market study, logs generated by the static analysis, and the result of testing, for our FSE'18 paper:

@inproceedings{zhang-fse18,
  title = "Detection of Energy Inefficiencies in {Android} {Wear} Watch Faces", 
  author = "Hailong Zhang and Haowei Wu and Atanas Rountev",
  booktitle = "ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering",
  year = 2018
}

Installation

The artifacts are available on Zenodo.

Alternatively, the implementation and app market study could be downloaded via GitHub:

git clone https://github.com/presto-osu/fse18.git

Due to GitHub's limitation on file sizes, all benchmarks have to be downloaded separately from Zenodo (~13GB) and extracted to the fse18 folder:

tar xvfJ fse18-benchmark.tar.xz --directory /path/to/fse18

After downloading all necessary files, follow the instructions to reproduce the results in the paper.

Structure

• analysis includes the code for static analysis;
• analysis-logs contains the log files by running the static analysis against the 1490 experimental subjects;
• apks (download separately) includes all the experimental subjects, i.e., the APK files for 1490 watch faces, as well as the tool to download them;
• app-market-study contains the crawler for app markets and the scripts to generate statistics in the paper;
• INSTALL.md includes the instructions to reproduce the experimental results in the paper;
• LICENSE includes the copyright information;
• README.md is this file;
• testing contains the testing framework and the results.

Others may use the static analysis to detect inefficiencies for any new watch face, use the testing framework to validate the reports by static analysis, as well as utilizing the benchmarks located at apks for further studies.

Please refer to the readme files in each sub-directory for more details.

Questions

If you have any question, please contact the authors of the paper.