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TTC 2017 Live Contest

This repository contains the case resources of the TTC 2017 Live contest.

Case description

The docs/2017_TTC_Live.pdf file contains the case description.

Prerequisites to run the benchmark framework

  • Python 2.7 or higher
  • R
    • jsonlite
    • ggplot2
  • .NET 4.5.1 to run correctness checks (the model printer uses NMF). .NET 4.5.1 in turn requires at least Windows Vista SP1.

Solution Prerequisites

  • NMF: .NET Framework 4.5.1 and MSBuild on the path

Using the framework

The scripts directory contains the run.py script which is used for the following purposes:

  • run.py -b -- builds the projects
  • run.py -b -s -- builds the projects without testing
  • run.py -m -- runs the benchmark
  • run.py -v -- visualizes the results of the latest benchmark

The config directory contains the configuration for the scripts:

  • config.json -- configuration for the model generation and the benchmark
  • reporting.json -- configuration for the visualization

Running the benchmark

The script runs the benchmark for the given number of runs, for the specified tools and models

The benchmark results are stored in a CSV file. The header for the CSV file is stored in the output/header.csv file.

Reporting and visualization

Make sure you read the README.md file in the reporting directory and install all the requirements for R.

Running the example solution

To run the benchmark framework, simply run the run.py script in the scripts folder with your Python interpreter. The working directory is not important.

Implementing the benchmark for a new tool

To implement a tool, you need to

  1. create a new directory in the solutions directory and give it a suitable name
  2. implement the code generators :)
  3. add a solution.ini file that specifies the exact command that is run for your solution
  4. add your tool to the configuration file config.json. The name you enter there must match the name of the directory created earlier.

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Case resources of the TTC 2017 Live contest

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