This repository is a fork of the original repository. It contains the most recent versions of the EMFSolutionAOF and EMFSolutionATL-Incremental solutions.
The following results show that these solutions are well-positioned compared to the others. There were obtained by running the benchmark on a machine with
- 2 x Intel® Xeon® X5670 - 2.93GHz 6-core
- 12 x 16 GB PC3-8500 (DDR3-1066Mhz) Registered CAS-7
The docs/2018_TTC_Live.pdf file contains the case description.
- 64-bit operating system
- Python 2.7 or higher
- R
- NMF: You need to install .NET Core 2.0
Add your prerequisites here!
The scripts directory contains the run.py script.
At a first glance, invoke it without any arguments so that the solution will be built, benchmarked, running times visualized and the results compared to the reference solution's.
One might fine tune the script for the following purposes:
run.py -b-- builds the projectsrun.py -b -s-- builds the projects without testingrun.py -g-- generates the instance modelsrun.py -m-- run the benchmark without buildingrun.py -v-- visualizes the results of the latest benchmarkrun.py -e-- compare results to the reference output. The benchmark shall already been executed using-m.run.py -m -e-- run benchmark without building, then extract and compare results to the reference outputrun.py -t-- build the project and run tests (usually unit tests as defined for the given solution)
The config directory contains the configuration for the scripts:
config.json-- configuration for the model generation and the benchmarkreporting.json-- configuration for the visualization
The script runs the benchmark for the given number of runs, for the specified tools and change sequences.
The benchmark results are stored in a CSV file. The header for the CSV file is stored in the output/header.csv file.
Make sure you read the README.md file in the reporting directory and install all the requirements for R.
To implement a tool, you need to create a new directory in the solutions directory and give it a suitable name.