Implementation of "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".

Related tags

Deep Learning DeepOrder-ICSME21
Overview

DeepOrder

License: GPL v3

Implementation of DeepOrder for the paper "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".

Installation

Clone the GitHub repository and install the dependencies.

  1. Clone the repo and go to the directory
$ git clone https://github.com/T3AS/DeepOrder-ICSME21/DeepOrder.git
$ cd DeepOrder
  1. Install Anaconda (for creating and activating a separate environment)
  2. Run:
$ conda create -n DeepOrder python==3.6
$ conda activate DeepOrder
  1. Inside the enviroment, run:
$ pip install -r requirements.txt

Instructions

Download the datasets from here.

There are 4 python scripts leading to 4 separate models of DeepOrder on their datasets respectively.

For running all the scripts together use:


$ ./scripts_all.sh

For extra visualization presented in the paper, run:


$ python Extra_Visualizations/APFD_NAPFD_test_history/Effect_of_test_history_APFD_NAPFD.py
$ python Extra_Visualizations/Comparison_with_RETECS/DeepOrder_Vs_RETECS.py

Citing

@INPROCEEDINGS{sharif2021deeporder,
  author    = {Sharif, Aizaz and Marijan, Dusica and Liaaen, Marius},
  title     = {DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing},
  journal   = {ICSME},
  year      = {2021},
}
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