Benchmarks for ApproxCov and ApproxMaxCov algorithms evaluation
Authors/Creators
- 1. Université catholique de Louvain
- 2. Indian Statistical Institute
- 3. National University of Singapore
- 4. University of Nebraska-Lincoln
Description
This deposit contains the benchmarks used for the evaluation of ApproxCov and ApproxMaxCov algorithms and their extensions. Implementations of the algorithms can be found at https://github.com/meelgroup/approxcov.
The folder two_values/cnf contains constraints of configurable systems. It is a subset of benchmarks from https://zenodo.org/record/4022395 and https://zenodo.org/record/3793090. In this set of benchmarks all features can have two values.
The folder two_values/samples contains sets of configurations computed with baital, quicksampler, and waps tools.
The folder mult_values contains samples and constraints of configurable systems where features can have finite number of values. These benchmarks are taken from the evaluation materials of the paper [1] and are converted to the input format of ApproxCov and ApproxMaxCov algorithms.
[1] Brady J Garvin, Myra B Cohen, and Matthew B Dwyer. 2009. An improved meta-heuristic search for constrained interaction testing. In 2009 1st International Symposium on Search Based Software Engineering. IEEE, 13–22.
Files
benchmarks.zip
Files
(202.5 MB)
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